Journals starting with iet-

IET-Bio( Vol No. ) * *IET Biometrics

IET-Bio(1) * Adaptive discriminative metric learning for facial expression recognition
* Comprehensive analysis of spectral minutiae for vein pattern recognition
* Critical analysis of adaptive biometric systems
* Ear biometrics: a survey of detection, feature extraction and recognition methods
* Effective speaker verification via dynamic mismatch compensation
* Face recognition for newborns
* Face spoofing detection from single images using texture and local shape analysis
* Framework for managing ageing effects in signature biometrics
* Grid-based feature distributions for off-line signature verification
* Maximisation of mutual information for gait-based soft biometric classification using gabor features
* Optimisation of biometric ID tokens by using hardware/software co-design
* Oriented Diffusion Filtering for Enhancing Low-quality Fingerprint Images
* Perturbation-enhanced feature correlation filter for robust iris recognition
* Reducing descriptor measurement error through bayesian estimation of fingerprint minutia location and direction
* Secure speech biometric templates for user authentication
* Security evaluation of biometric authentication systems under real spoofing attacks
* Statistical attack against fuzzy commitment scheme
* Subface hidden Markov models coupled with a universal occlusion model for partially occluded face recognition
* Total variability modelling for face verification
* Unconditionally provably secure cancellable biometrics based on a quotient polynomial ring
20 for IET-Bio(1)

IET-Bio(10) * 3D landmark-based face restoration for recognition using variational autoencoder and triplet loss
* Basic finger inner-knuckle print: A new hand biometric modality
* CNN-based off-angle iris segmentation and recognition
* Cross-ethnicity face anti-spoofing recognition challenge: A review
* Data augmentation with occluded facial features for age and gender estimation
* deep biometric hash learning framework for three advanced hand-based biometrics, A
* Effects of image compression on face image manipulation detection: A case study on facial retouching
* Efficient high-speed framework for sparse representation-based iris recognition
* Energy-efficient multi-biometric system for Internet of Things using trust management
* Exploring presentation attack vulnerability and usability of face recognition systems
* Extended evaluation of the effect of real and simulated masks on face recognition performance
* Face morphing detection in the presence of printing/scanning and heterogeneous image sources
* Facial expression recognition using singular values and wavelet-based LGC-HD operator
* Facial masks and soft-biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images
* Failure of affine-based reconstruction attack in regenerating vascular feature points
* fully rotation invariant multi-camera finger vein recognition system, A
* Generation of cancellable locality sampled codes from facial images
* Guest Editorial: BIOSIG 2020 special issue on trustworthiness of person authentication
* Hybrid face recognition under adverse conditions using appearance-based and dynamic features of smile expression
* Impact of facial tattoos and paintings on face recognition systems
* Improving biometric recognition by means of score ratio, the likelihood ratio for non-probabilistic classifiers. A benchmarking study
* Mobile keystroke dynamics for biometric recognition: An overview
* Multi-task learning using GNet features and SVM classifier for signature identification
* multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison, A
* Occlusion-invariant face recognition using simultaneous segmentation
* On the fly biometric identification system using hand-geometry
* On the generalisation capabilities of Fisher vector-based face presentation attack detection
* Optimized multi-biometric enhancement analysis
* Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition
* Password policy characteristics and keystroke biometric authentication
* Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks
* Privacy-preserving speaker verification system based on binary I-vectors
* Producing secure multimodal biometric descriptors using artificial neural networks
* robust deep learning approach for glasses detection in non-standard facial images, A
* Subject independent evaluation of eyebrows as a stand-alone biometric
* survey of face recognition techniques under occlusion, A
* Survey on Deepfake Video Detection, A
* Texture feature column scheme for single- and multi-script writer identification
* Unimodal-Bio-GAN: Keyless biometric salting scheme based on generative adversarial network
* Unknown presentation attack detection against rational attackers
* VID: Human identification through vein patterns captured from commodity depth cameras
41 for IET-Bio(10)

IET-Bio(11) * 25th ICPR: Real-time Visual Surveillance as-a-Service (VSaaS) for smart security solutions
* Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms
* Benchmarking human face similarity using identical twins
* biometric-based verification system for handwritten image-based signatures using audio to image matching, A
* BIOSIG 2021 Special issue on efficient, reliable, and privacy-friendly biometrics
* Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography
* Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack
* Corresponding keypoint constrained sparse representation three-dimensional ear recognition via one sample per person
* Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos
* Deep patch-wise supervision for presentation attack detection
* Discriminative training of spiking neural networks organised in columns for stream-based biometric authentication
* EEG personal recognition based on qualified majority over signal patches
* Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality
* Framework for user behavioural biometric identification using a multimodal scheme with keystroke trajectory feature and recurrent neural network on a mobile platform
* Gradient boosting regression for faster Partitioned Iterated Function Systems-based head pose estimation
* Guest editorial: Recent advances in representation learning for robust biometric recognition systems
* HandSegNet: Hand segmentation using convolutional neural network for contactless palmprint recognition
* Hybrid biometric template protection: Resolving the agony of choice between bloom filters and homomorphic encryption
* Locality preserving binary face representations using auto-encoders
* Masked face recognition: Human versus machine
* Multi-branch network with hierarchical bilinear pooling for person reidentification
* Multiresolution synthetic fingerprint generation
* Palmprint recognition based on the line feature local tri-directional patterns
* Phoneme analysis for multiple languages with fuzzy-based speaker identification
* Pixel-wise supervision for presentation attack detection on identity document cards
* Point-convolution-based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple-input multiple-output radar
* Profile to frontal face recognition in the wild using coupled conditional generative adversarial network
* Proposing a Fuzzy Soft-max-based classifier in a hybrid deep learning architecture for human activity recognition
* Protection of gait data set for preserving its privacy in deep learning pipeline
* Real-time recognition of human motions using multidimensional features in ultrawideband biological radar
* Recognition of human Iris for biometric identification using Daugman's method
* Recognition of the finger vascular system using multi-wavelength imaging
* Reliable detection of doppelgängers based on deep face representations
* response to the European Data Protection Supervisor Misunderstandings in Biometrics by the European Association for Biometrics, A
* robust covariate-invariant gait recognition based on pose features, A
* Robust medical zero-watermarking algorithm based on Residual-DenseNet
* Robust watermarking algorithm for medical images based on accelerated-KAZE discrete cosine transform
* Securable networked scheme with face authentication
* Signal-level fusion for indexing and retrieval of facial biometric data
* Spoofing detection on adaptive authentication System-A survey
* SviaB: Secure and verifiable multi-instance iris remote authentication using blockchain
* Time-frequency fusion learning for photoplethysmography biometric recognition
* Towards better and unlinkable protected biometric templates using label-assisted discrete hashing
* Towards pen-holding hand pose recognition: A new benchmark and a coarse-to-fine PHHP recognition network
* Towards understanding the character of quality sampling in deep learning face recognition
* Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation
* Using double attention for text tattoo localisation
* Writer identification and writer retrieval based on NetVLAD with Re-ranking
48 for IET-Bio(11)

IET-Bio(12) * Activity-based electrocardiogram biometric verification using wearable devices
* Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection
* APPSO-NN: An adaptive-probability particle swarm optimization neural network for sensorineural hearing loss detection
* Biometric privacy protection: What is this thing called privacy?
* Biometrics and the metaphysics of personal identity
* Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non-expensive electroencephalogram headsets
* Deep features fusion for user authentication based on human activity
* Detection of non-suicidal self-injury based on spatiotemporal features of indoor activities
* Efficient ear alignment using a two-stack hourglass network
* empirical analysis of keystroke dynamics in passwords: A longitudinal study, An
* Facilitating free travel in the Schengen area: A position paper by the European Association for Biometrics
* Forearm multimodal recognition based on IAHP-entropy weight combination
* Heartbeat information prediction based on transformer model using millimetre-wave radar
* image-based facial acupoint detection approach using high-resolution network and attention fusion, An
* Lip print-based identification using traditional and deep learning
* On improving interoperability for cross-domain multi-finger fingerprint matching using coupled adversarial learning
* Optimal feature-algorithm combination research for EEG fatigue driving detection based on functional brain network
* Robust graph fusion and recognition framework for fingerprint and finger-vein
* Turning waste into wealth: Person identification by emotion-disturbed electrocardiogram
19 for IET-Bio(12)

IET-Bio(2) * Cosine similarity for analysis and verification of static signatures
* Dental radiographs and photographs in human forensic identification
* Editorial: Special issue on Handwriting Biometrics
* Efficient person authentication based on multi-level fusion of ear scores
* Facial biometrics for situational awareness systems
* Gender classification via lips: static and dynamic features
* hierarchical Bayesian approach to online writer identification, A
* Hybrid writer-independent writer-dependent offline signature verification system
* Improved average of synthetic exact filters for precise eye localisation under realistic conditions
* Improved chaff point generation for vault scheme in bio-cryptosystems
* Improving tactical biometric systems through the application of systems engineering
* Modern statistical and philosophical framework for uncertainty assessment in biometric performance testing
* Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems
* Off-line verification technique for Hindi signatures
* Offline writer verification using pen pressure information from infrared image
* Operational bio-hash to preserve privacy of fingerprint minutiae templates
* Orthogonal function representation for online signature verification: which features should be looked at?
* Performance assessments of iris recognition in tactical biometric devices
* Revisiting the accuracy of the biohashing algorithm on fingerprints
* robust dissimilarity representation for writer-independent signature modelling, A
* Semi-supervised framework for writer identification using structural learning
* Session variability modelling for face authentication
* Singular value decomposition and wavelet-based iris biometric watermarking
23 for IET-Bio(2)

IET-Bio(3) * Assessment of methods for image recreation from signature time-series data
* Beyond parametric score normalisation in biometric verification systems
* Biometric evidence evaluation: An empirical assessment of the effect of different training data
* Book review: Handbook of Iris Recognition
* Cascaded multimodal biometric recognition framework
* Context-based approach of separating contactless captured high-resolution overlapped latent fingerprints
* Design and evaluation of photometric image quality measures for effective face recognition
* Elastic strips normalisation model for higher iris recognition performance
* Ensemble systems and cancellable transformations for multibiometric-based identification
* Fast neighbourhood component analysis with spatially smooth regulariser for robust noisy face recognition
* Gait as evidence
* Hand vein authentication using biometric graph matching
* Human gait identification from extremely low-quality videos: An enhanced classifier ensemble method
* IET-BMT special issue on the 'Integration of Biometrics and Forensics'
* Individual identification based on chaotic electrocardiogram signals during muscular exercise
* Measuring and mitigating targeted biometric impersonation
* Mobile signature verification: feature robustness and performance comparison
* Motion-based counter-measures to photo attacks in face recognition
* Off-line signature verification: upper and lower envelope shape analysis using chord moments
* On application of bloom filters to iris biometrics
* On robust face recognition via sparse coding: The good, the bad and the ugly
* Online signature verification using segment-level fuzzy modelling
* Palm vein recognition with local texture patterns
* Performance evaluation of handwritten signature recognition in mobile environments
* Periocular biometrics: constraining the elastic graph matching algorithm to biologically plausible distortions
* Personal identification based on multiple keypoint sets of dorsal hand vein images
* Pose-invariant face recognition using curvelet neural network
* Presentation Attack Detection Methods for Fingerprint Recognition Systems: A Survey
* Regional fusion for high-resolution palmprint recognition using spectral minutiae representation
* Score calibration in face recognition
* Separating the real from the synthetic: Minutiae histograms as fingerprints of fingerprints
* Shape primitive histogram: Low-level face representation for face recognition
* Source phone identification using sketches of features
* Vocabulary harmonisation for biometrics: The development of ISO/IEC 2382 Part 37
* Voice biometrics using linear Gaussian model
35 for IET-Bio(3)

IET-Bio(4) * Age-invariant face recognition system using combined shape and texture features
* Algorithm to estimate biometric performance change over time
* BioHDD: a dataset for studying biometric identification on heavily degraded data
* Biometric template protection for speaker recognition based on universal background models
* Biometric verification with eye movements: results from a long-term recording series
* Biometrics statistics: A foreword and introduction to the special issue
* Breaking the 99% barrier: Optimisation of three-dimensional face recognition
* Critical examination of the IREX VI results
* Cross-view gait recognition by fusion of multiple transformation consistency measures
* Editorial: Two views on iris ageing
* Effective speaker spotting for watch-list detection of fraudsters in telephone banking
* Face recognition under illumination variations based on eight local directional patterns
* Impact of (segmentation) quality on long vs. short-timespan assessments in iris recognition performance
* Impact of eye detection error on face recognition performance
* IREX VI: mixed-effects longitudinal models for iris ageing: response to Bowyer and Ortiz
* Modelling errors in a biometric re-identification system
* Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction
* Performance and security-enhanced fuzzy vault scheme based on ridge features for distorted fingerprints
* Performance evaluation of continuous authentication systems
* Personal identification from degraded and incomplete high resolution palmprints
* Pre-registration of latent fingerprints based on orientation field
* Speaker identification using multimodal neural networks and wavelet analysis
* State-of-the-art methods and future perspectives for personal recognition based on electroencephalogram signals
* Study of automatic prediction of emotion from handwriting samples
24 for IET-Bio(4)

IET-Bio(5) * Adaptively weighted orthogonal gradient binary pattern for single sample face recognition under varying illumination
* Analysing comparative soft biometrics from crowdsourced annotations
* Authentic mobile-biometric signature verification system
* Blind subjects faces database
* Cancellable fuzzy vault with periodic transformation for biometric template protection
* Chaff point generation mechanism for improving fuzzy vault security
* Comparison of quasi-spherical surfaces: Application to corneal biometry
* Dilation-aware enrolment for iris recognition
* Effects of image compression on ear biometrics
* Effects of pose and image resolution on automatic face recognition
* Empirical mode decomposition for online handwritten signature verification
* Experimental analysis regarding the influence of iris segmentation on the recognition rate
* Face reconstruction from image sequences for forensic face comparison
* Finger image quality assessment features: definitions and evaluation
* Free-text keystroke dynamics authentication for Arabic language
* Generating cancellable fingerprint templates based on Delaunay triangle feature set construction
* Global variational method for fingerprint segmentation by three-part decomposition
* Guest Editorial Special Issue on mobile biometrics
* Heart-ID: human identity recognition using heart sounds based on modifying mel-frequency cepstral features
* Improved RGB-D-T based face recognition
* Literature review of fingerprint quality assessment and its evaluation
* Method for using visible ocular vasculature for mobile biometrics
* Multi-script versus single-script scenarios in automatic off-line signature verification
* Orthogonal enhanced linear discriminant analysis for face recognition
* Overview of research on facial ageing using the FG-NET ageing database
* Predictive ability of anthropomorphic metrics in determining age and sex of children
* Review of key-binding-based biometric data protection schemes
* Robust cancellable biometrics scheme based on neural networks
* Searching for doppelgangers: assessing the universality of the IrisCode impostors distribution
* Small fingerprint scanners used in mobile devices: The impact on biometric performance
* Study on using individual differences in facial expressions for a face recognition system immune to spoofing attacks
* Survey on real-time facial expression recognition techniques
* Three-dimensional and two-and-a-half-dimensional face recognition spoofing using three-dimensional printed models
* Unlinkable minutiae-based fuzzy vault for multiple fingerprints
34 for IET-Bio(5)

IET-Bio(6) * Age interval and gender prediction using PARAFAC2 and SVMs based on visual and aural features
* Automatic ear detection and feature extraction using Geometric Morphometrics and convolutional neural networks
* Automatic speaker verification on narrowband and wideband lossy coded clean speech
* Backward face ageing model (B-FAM) for digital face image rejuvenation
* Biometric authentication based on 2D/3D sensing of forensic handwriting traces
* Biometric authentication system using retinal vessel pattern and geometric hashing
* Biometric template protection based on Bloom filters and honey templates
* BioTAM: a technology acceptance model for biometric authentication systems
* Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement
* Comparative analysis of bag-of-words models for ECG-based biometrics
* Comparison of different entropies as features for person authentication based on EEG signals
* Constructing cancellable template with synthetic minutiae
* Design of adaptive biometric gait recognition algorithm with free walking directions
* Effective statistical-based and dynamic fingerprint preprocessing technique
* Efficient multimodal ocular biometric system for person authentication based on iris texture and corneal shape
* Face detection with a Viola-Jones based hybrid network
* Fingerprint image super resolution using sparse representation with ridge pattern prior by classification coupled dictionaries
* Fingerprint liveness detection using local texture features
* Fingerprint recognition under the influence of image sensor ageing
* ForenFace: a unique annotated forensic facial image dataset and toolset
* Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics
* Fuzzy integrals for combining multiple SVM and histogram features for writer's gender prediction
* Geometric feature extraction by FTAs for finger-based biometrics system
* Guest Editorial: Special Issue: Selected Papers from the International Workshop on Biometrics and Forensics
* Human gait recognition from motion capture data in signature poses
* Hyperspectral face recognition with log-polar Fourier features and collaborative representation based voting classifiers
* Introducing an approach for writer recognition based on the i -vector paradigm
* Long range correlation of preceded pixels relations and application to off-line signature verification
* Low-resolution face alignment and recognition using mixed-resolution classifiers
* LRR-TTK DL for face recognition
* Multi-frame super-resolution for long range captured iris polar image
* Multimodal 2D-3D face recognition using local descriptors: Pyramidal shape map and structural context
* Multimodal biometric recognition using human ear and palmprint
* Ocular surface vasculature recognition using curvelet transform
* Online signature verification using double-stage feature extraction modelled by dynamic feature stability experiment
* Optimum scheme selection for face-iris biometric
* Palm vein recognition scheme based on an adaptive Gabor filter
* Perfect fingerprint orientation fields by locally adaptive global models
* Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data
* PRNU enhancement effects on biometric source sensor attribution
* Real-time AdaBoost cascade face tracker based on likelihood map and optical flow
* Robust feature extraction and salvage schemes for finger texture based biometrics
* Robust footstep identification system based on acoustic local features
* Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions
* Securing fingerprint templates using fused structures
* Signature authentication based on human intervention: Performance and complementarity with automatic systems
* Simulation of synthetic fingerprint generation using Petri nets
* Super resolution and recognition of long range captured multi-frame iris images
* System for multimodal biometric recognition based on finger knuckle and finger vein using feature-level fusion and k-support vector machine classifier
* UTSig: A Persian offline signature dataset
* Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions
* Value of graph topology in vascular biometrics
* View-invariant gait recognition system using a gait energy image decomposition method
* Visual animal biometrics: survey
* Voice disguise by mimicry: deriving statistical articulometric evidence to evaluate claimed impersonation
55 for IET-Bio(6)

IET-Bio(7) * *Guest Editorial: Biometrics as-a-service: the path ahead?
* *Guest Editorial: Face Recognition and Spoofing Attacks
* *Guest Editorial: Selected papers from the 5th International Workshop on Biometrics and Forensics 2017, Coventry, UK
* *Guest Editorial: Unconstrained Ear Recognition
* 3D discrete wavelet transform-based feature extraction for hyperspectral face recognition
* 3D ear recognition using global and local features
* Analysis of diurnal changes in pupil dilation and eyelid aperture
* Automatic face recognition for home safety using video-based side-view face images
* Biologically inspired makeup detection system with application in face recognition
* Biometric identification using single channel EEG during relaxed resting state
* Biometric ontology for semantic biometric-as-a-service (BaaS) applications: a border security use case
* Bloom filter-based search structures for indexing and retrieving iris-codes
* Chat biometrics
* Construction of a Bayesian decision theory-based secure multimodal fusion framework for soft biometric traits
* Convolutional encoderdecoder networks for pixel-wise ear detection and segmentation
* Convolutional neural networks for gender prediction from smartphone-based ocular images
* Deeply vulnerable: a study of the robustness of face recognition to presentation attacks
* Developing standardised network-based biometric services
* Domain adaptation for ear recognition using deep convolutional neural networks
* Ear recognition in 3D using 2D curvilinear features
* Ear recognition in a light field imaging framework: a new perspective
* Ear verification under uncontrolled conditions with convolutional neural networks
* EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique
* Employing fusion of learned and handcrafted features for unconstrained ear recognition
* Enhancing person re-identification by late fusion of low-, mid- and high-level features
* Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images
* Face recognition under spoofing attacks: countermeasures and research directions
* Face recognition with compressed Fisher vector on multiscale convolutional features
* Face spoofing detection based on colour distortions
* Face spoofing detection using a light field imaging framework
* Face-iris multi-modal biometric system using multi-resolution Log-Gabor filter with spectral regression kernel discriminant analysis
* Fast and efficient minutia-based palmprint matching
* Filter-based face recognition under varying illumination
* Flooding-based segmentation for contactless hand biometrics oriented to mobile devices
* Gait recognition on the basis of markerless motion tracking and DTW transform
* Gait-based human age classification using a silhouette model
* Grey Wolf optimisation-based feature selection and classification for facial emotion recognition
* Human identification with dental panoramic radiographic images
* Human recognition using transient auditory evoked potentials: A preliminary study
* Human-level face verification with intra-personal factor analysis and deep face representation
* Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO
* Illumination pre-processing method for face recognition using 2D DWT and CLAHE
* Improved imperceptible visible watermarking algorithm for auxiliary information delivery
* Information set based features for the speed invariant gait recognition
* Key binding biometrics-based remote user authentication scheme using smart cards
* Label propagation approach for predicting missing biographic labels in face-based biometric records
* Learning pairwise SVM on hierarchical deep features for ear recognition
* Low-quality fingerprint classification using deep neural network
* MakeUpMirror: mirroring make-ups and verifying faces post make-up
* Method for estimating potential recognition capacity of texture-based biometrics
* Methods for accuracy-preserving acceleration of large-scale comparisons in CPU-based iris recognition systems
* Neural class-specific regression for face verification
* Non-reference image quality assessment and natural scene statistics to counter biometric sensor spoofing
* On view-invariant gait recognition: a feature selection solution
* Online signature verification using i-vector representation
* Palm vein recognition using a high dynamic range approach
* Person re-identification based on pose angle estimation and multi-feature extraction
* Planting attack on latent fingerprints
* Predicting the vulnerability of biometric systems to attacks based on morphed biometric information
* QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios
* Robust partitioning and indexing for iris biometric database based on local features
* Robust technique for fingerprint template protection
* Scarce face recognition via two-layer collaborative representation
* Score-level fusion using generalized extreme value distribution and DSmT, for multi-biometric systems
* Self-geometric relationship filter for efficient SIFT key-points matching in full and partial palmprint recognition
* Speaker verification with short utterances: a review of challenges, trends and opportunities
* Steps to solving the infant biometric problem with ridge-based biometrics
* Strengths and weaknesses of deep learning models for face recognition against image degradations
* Survey on the impact of fingerprint image enhancement
* Symmetric sum-based biometric score fusion
* Thai Automatic signature verification System Employing Textural Features
* Unconstrained ear recognition using deep neural networks
72 for IET-Bio(7)

IET-Bio(8) * Active detection of age groups based on touch interaction
* Analysis of results of large-scale multimodal biometric identity verification experiment
* Analysis of the effect of ageing, age, and other factors on iris recognition performance using NEXUS scores dataset
* Application of MEEMD in post-processing of dimensionality reduction methods for face recognition
* Augmented SRC for face recognition under quality distortions
* Automatic speech discrete labels to dimensional emotional values conversion method
* Chaos game theory and its application for offline signature identification
* Computational workload in biometric identification systems: an overview
* Dataset bias exposed in face verification
* Deep finger texture learning for verifying people
* Deep learning approach to generate offline handwritten signatures based on online samples
* Deep part-related feature learning for human-level biometrics
* ECG analysis for human recognition using non-fiducial methods
* Effect of face and ocular multimodal biometric systems on gender classification
* Electrocardiogram authentication method robust to dynamic morphological conditions
* Eyebrows and eyeglasses as soft biometrics using deep learning
* Face liveness detection: fusing colour texture feature and deep feature
* Face template protection using deep LDPC codes learning
* Finger vein recognition using mutual sparse representation classification
* Finger vein verification using a Siamese CNN
* Gradient-based approach to offline text-independent Persian writer identification
* Improvement for distortion resistance of Delaunay triangulation net-based fingerprint templates
* Improving Arabic writer identification using score-level fusion of textural descriptors
* Intrusion detection using mouse dynamics
* Iris super-resolution using CNNs: is photo-realism important to iris recognition?
* Low-cost biometric recognition system based on NIR palm vein image
* Low-resolution face recognition and feature selection based on multidimensional scaling joint L 2,1-norm regularisation
* Low-resolution face recognition and the importance of proper alignment
* Masked SIFT with align-based refinement for contactless palmprint recognition
* Multi-stage age estimation using two level fusions of handcrafted and learned features on facial images
* Pose-based deep gait recognition
* Privacy preserving biometric-based remote authentication with secure processing unit on untrusted server
* Radial correlations in iris patterns, and mutual information within IrisCodes
* RANSAC lens boundary feature based kernel SVM for transparent contact lens detecTion
* Reducing the template ageing effect in on-line signature biometrics
* Relevant features for gender classification in NIR periocular images
* Robust and adaptive algorithm for hyperspectral palmprint region of interest extraction
* Robust gait recognition: a comprehensive survey
* ScoreNet: deep cascade score level fusion for unconstrained ear recognition
* Secure multimodal biometric system based on diffused graphs and optimal score fusion
* SEMBA: secure multi-biometric authentication
* Semiparametric likelihood-ratio-based biometric score-level fusion via parametric copula
* Survey on features for fingerprint indexing
* Towards application of dorsal hand vein recognition under uncontrolled environment based on biometric graph matching
* Upgrading security and protection in ear biometrics
45 for IET-Bio(8)

IET-Bio(9) * 3D face mask presentation attack detection based on intrinsic image analysis
* Automated cleaning of identity label noise in a large face dataset with quality control
* BMIAE: blockchain-based multi-instance Iris authentication using additive ElGamal homomorphic encryption
* Cadaver identification with dental radiographs using isoperimetric and nodal graph approach
* Constant-Q magnitude-phase coefficients extraction for synthetic speech detection
* Cost-effective and accurate palm vein recognition system based on multiframe super-resolution algorithms
* Data behind mobile behavioural biometrics: A Survey
* Deep convolutional neural networks for face and iris presentation attack detection: survey and case study
* Deep learning for face recognition on mobile devices
* Deep representations for cross-spectral ocular biometrics
* DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture
* Democratic voting downsampling for coding-based palmprint recognition
* Discriminative common feature subspace learning for age-invariant face recognition
* Editorial: Keeping identity in times of change
* EEG-based biometric identification using frequency-weighted power feature
* Efficient method for segmentation of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM
* Face morph detection for unknown morphing algorithms and image sources: a multi-scale block local binary pattern fusion approach
* Face recognition: a novel multi-level taxonomy based survey
* Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality
* Gait biometrics: investigating the use of the lower inner regions for people identification from landmark frames
* Human forehead recognition: a novel biometric modality based on near-infrared laser backscattering feature image using deep transfer learning
* Online writer identification system using adaptive sparse representation framework
* Palmprint recognition using state-of-the-art local texture descriptors: a comparative study
* PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck
* PRNU-based detection of facial retouching
* PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT: A Case Study
* Review of gait recognition approaches and their challenges on view changes
* Review of palm vein recognition
* Two-tiered face verification with low-memory footprint for mobile devices
* Universal fingerprint minutiae extractor using convolutional neural networks
* Weighted quasi-arithmetic mean based score level fusion for multi-biometric systems
31 for IET-Bio(9)

IET-CV( Vol No. ) * *IET Computer Vision Journal

IET-CV(1) * 3D Model-Based Pose Invariant Face Recognition from Multiple Views
* Catadioptric single-shot rangefinder for textured map building in robot navigation
* Consumer electronics control system based on hand gesture moment invariants
* Derivation of blur-invariant features using orthogonal Legendre moments
* Design of a computer vision system for a differential spraying operation in precision agriculture using hebbian learning
* Evaluation of point localisation and similarity fusion methods for gabor jet-based face verification
* Extracting characters from real vehicle licence plates out-of-doors
* Fast numerically stable computation of orthogonal Fourier-Mellin moments
* Hierarchical active shape model with motion prediction for real-time tracking of non-rigid objects
* Infrared imaging of hand vein patterns for biometric purposes
* Integrating CFD modelling, neural networks and remote sensing: controlled prediction of chlorophyll-a concentration in the Mejillones of South Bay
* Statistical multiple light source detection
12 for IET-CV(1)

IET-CV(10) * Affine invariant shape projection distribution for shape matching using relaxation labelling
* Affine-scale invariant feature transform and two-dimensional principal component analysis: a novel framework for affine and scale invariant face recognition
* Assessment of noise reduction in ultrasound images of common carotid and brachial arteries
* Bag-of-features for image memorability evaluation
* Brain tumour classification using two-tier classifier with adaptive segmentation technique
* Cardiac image segmentation by random walks with dynamic shape constraint
* Compact descriptor for local feature using dominating centre-symmetric local binary pattern
* comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild, A
* Content-based image retrieval system via sparse representation
* Contextualised learning-free three-dimensional body pose estimation from two-dimensional body features in monocular images
* Continuous action segmentation and recognition using hybrid convolutional neural network-hidden Markov model model
* Data driven visual tracking via representation learning and online multi-class LPBoost learning
* Density aware anomaly detection in crowded scenes
* Driving posture recognition by convolutional neural networks
* Efficient image features selection and weighting for fundamental matrix estimation
* Expanding dictionary for robust face recognition: Pixel is not necessary while sparsity is
* Extraction of informative regions of a face for facial expression recognition
* Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework
* Facial video-based detection of physical fatigue for maximal muscle activity
* Fast deformable structure regression tracking
* Feature detection and matching on atmospheric nuclear detonation video
* Forensic video solution using facial feature-based synoptic Video Footage Record
* Fusing directional wavelet local binary pattern and moments for human action recognition
* Gender classification based on fuzzy clustering and principal component analysis
* Genetic algorithm-optimised structure of convolutional neural network for face recognition applications
* Graphics processing unit-accelerated multi-resolution exhaustive search algorithm for real-time keypoint descriptor matching in high-dimensional spaces
* Guest Editorial, Action Recognition
* Histogram-based cost aggregation strategy with joint bilateral filtering for stereo matching
* Human action recognition using histogram of motion intensity and direction from multiple views
* Identity recognition based on generalised linear regression classification for multi-component images
* Image encryption scheme based on block-based confusion and multiple levels of diffusion
* Image fusion via feature residual and statistical matching
* l2-norm-based prior for haze-removal from single image
* Local directional mask maximum edge patterns for image retrieval and face recognition
* Local energy-based multimodal medical image fusion in curvelet domain
* Multi-group-multi-class domain adaptation for event recognition
* Multi-object tracking using dominant sets
* Multiple deep features learning for object retrieval in surveillance videos
* New fusional framework combining sparse selection and clustering for key frame extraction
* Online learning of mixture experts for real-time tracking
* Optimisation of automatic face annotation system used within a collaborative framework for online social networks
* Owl and Lizard: Patterns of head pose and eye pose in driver gaze classification
* Parallel algorithm implementation for multi-object tracking and surveillance
* Pedestrian re-identification via coarse-to-fine ranking
* Perceptual edge detection via entropy-driven gradient evaluation
* Probabilistic approach for maximum likelihood estimation of pose using lines
* Probability-based method for boosting human action recognition using scene context
* Proposed face recognition system after plastic surgery
* Region matching based on colour invariants in RGB orthogonal space
* Road vanishing point detection using weber adaptive local filter and salient-block-wise weighted soft voting
* Self co-articulation detection and trajectory guided recognition for dynamic hand gestures
* Strategy of active learning support vector machine for image retrieval
* Subclass representation-based face-recognition algorithm derived from the structure scatter of training samples
* Supervised framework for automatic recognition and retrieval of interaction: a framework for classification and retrieving videos with similar human interactions
* Two-dimension principal component analysis-based motion detection framework with subspace update of background
* Two-layer discriminative model for human activity recognition
* Video analytics revisited
* Video anomaly detection using deep incremental slow feature analysis network
* Weighted averaging fusion for multi-view skeletal data and its application in action recognition
* Zero-shot learning by exploiting class-related and attribute-related prior knowledge
60 for IET-CV(10)

IET-CV(11) * *Guest Editorial: Deep Learning in Computer Vision
* Active learning with label correlation exploration for multi-label image classification
* Adaptive image segmentation algorithm under the constraint of edge posterior probability
* Adaptive regularised L_2-boosting on clustered sparse coefficients for single image super-resolution
* Adaptive segmentation for multi-view stereo
* Adaptive skin detection using face location and facial structure estimation
* Algorithmic optimisation of histogram intersection kernel support vector machine-based pedestrian detection using low complexity features
* Analysis of 2D singularities for mammographic mass classification
* Analysis of reduced-set construction using image reconstruction from a HOG feature vector
* Automatic age estimation from facial profile view
* Automatic measurement of anthropometric dimensions using frontal and lateral silhouettes
* Background modelling using discriminative motion representation
* Class-wise two-dimensional PCA method for face recognition
* Compact discriminative object representation via weakly supervised learning for real-time visual tracking
* Computer-aided mammogram diagnosis system using deep learning convolutional fully complex-valued relaxation neural network classifier
* Convolutional recurrent neural networks with hidden Markov model bootstrap for scene text recognition
* D-patches: effective traffic sign detection with occlusion handling
* Data-driven image captioning via salient region discovery
* Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images
* Deep Neural Network with Attention Model for Scene Text Recognition
* Discriminative feature learning-based pixel difference representation for facial expression recognition
* EasyFlow: Increasing the Convergence Basin of Variational Image Matching with a Feature-Based Cost
* Enhanced X-ray image segmentation method using prior shape
* Enhanced X-ray image segmentation method using prior shape
* Extended social force model-based mean shift for pedestrian tracking under obstacle avoidance
* Facial aging simulation via tensor completion and metric learning
* Fitting-based optimisation for image visual salient object detection
* Fully convolutional networks for action recognition
* GA-based camera calibration for vision-assisted robotic assembly system
* Gender recognition based on face image using reinforced local binary patterns
* Generating image descriptions with multidirectional 2D long short-term memory
* Heterogeneous domain adaptation method for video annotation
* Hierarchical non-parametric Markov random field for image segmentation
* High-order Markov random field for single depth image super-resolution
* Human interaction recognition fusing multiple features of depth sequences
* Human-action recognition using a multi-layered fusion scheme of Kinect modalities
* Improved sparse representation method for image classification
* Improvement of affine iterative closest point algorithm for partial registration
* Individual and group tracking with the evaluation of social interactions
* Integrating wavelet transformation with Markov random field analysis for the depth estimation of light-field images
* K-Means Based Multiple Objects Tracking with Long-Term Occlusion Handling
* Large margin relative distance learning for person re-identification
* Local non-linear alignment for non-linear dimensionality reduction
* Locality constrained dictionary learning for non-linear dimensionality reduction and classification
* Mammographic mass classification according to Bi-RADS lexicon
* Meta-action descriptor for action recognition in RGBD video
* Method for unconstrained text detection in natural scene image
* Mixing body-parts model for 2D human pose estimation in stereo videos
* Multicamera rig calibration by double-sided thick checkerboard
* Multilinear Laplacian discriminant analysis for gait recognition
* Multiple human tracking in RGB-depth data: a survey
* Multiscale spatially regularised correlation filters for visual tracking
* new low-complexity patch-based image super-resolution, A
* On the improvement of foreground-background model-based object tracker
* Online multi-person tracking with two-stage data association and online appearance model learning
* Patterns of approximated localised moments for visual loop closure detection
* Real-time calibration of space zoom cameras based on fixed stars
* Real-time embedded implementation of robust speed-limit sign recognition using a novel centroid-to-contour description method
* Real-time transmission tower detection from video based on a feature descriptor
* Retrieval of Striated Toolmarks Using Convolutional Neural Networks
* Robust algorithm for multiview registration
* Robust saliency detection via corner information and an energy function
* Saliency detection using adaptive background template
* Saliency detection using suitable variant of local and global consistency
* Salient object detection based on global multi-scale superpixel contrast
* Salient object detection via sparse representation and multi-layer contour zooming
* Salient object detection with high-level prior based on Bayesian fusion
* Sample reconstruction with deep autoencoder for one sample per person face recognition
* SDP-based approach to monocular reconstruction of inextensible surfaces
* Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting
* Set of bilateral and radial symmetry shape descriptor based on contour information
* Social-spider optimised particle filtering for tracking of targets with discontinuous measurement data
* Spatio-temporal multi-scale motion descriptor from a spatially-constrained decomposition for online action recognition
* Spider monkey optimisation assisted particle filter for robust object tracking
* STBD: a simple tri-bit binary descriptor for point matching
* Survey on deep learning methods in human action recognition
* SVCV: segmentation volume combined with cost volume for stereo matching
* Unbiased evaluation of keypoint detectors with respect to rotation invariance
* Watching plants grow: a position paper on computer vision and Arabidopsis thaliana
* Webcam-based system for video-oculography
* Within-component and between-component multi-kernel discriminating correlation analysis for colour face recognition
81 for IET-CV(11)

IET-CV(12) * *Guest Editorial: Computer Vision in Healthcare and Assisted Living
* 3D motion capture system for assessing patient motion during Fugl-Meyer stroke rehabilitation testing
* Accuracy assessment of single viewing techniques for metric measurements on single images
* Action recognition based on motion of oriented magnitude patterns and feature selection
* Action recognition by discriminative Edge_Boxes
* Action recognition from mutually incoherent pose bases in static image
* Analysis of low-correlated spatial gene expression patterns: a clustering approach in the mouse brain data hosted in the Allen Brain Atlas
* Angled local directional pattern for texture analysis with an application to facial expression recognition
* Animal classification using facial images with score-level fusion
* Automated approach for indirect immunofluorescence images classification based on unsupervised clustering method
* Automated skin lesion segmentation of dermoscopic images using GrabCut and k-means algorithms
* Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions
* Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation
* Automatic individual identification of Saimaa ringed seals
* Automatic lung segmentation based on Graph Cut using a distance-constrained energy
* Automatic Multi-Circle Detection on Images Using the Teaching Learning Based Optimisation Algorithm
* Automatic underwater moving object detection using multi-feature integration framework in complex backgrounds
* Back-dropout transfer learning for action recognition
* Bird and whale species identification using sound images
* Boosting landmark retrieval baseline with burstiness detection
* CF-based optimisation for saliency detection
* CNN with coarse-to-fine layer for hierarchical classification
* Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic
* Colour image retrieval based on the hypergraph combined with a weighted adjacent structure
* Combining 2D and 3D features to improve road detection based on stereo cameras
* Combining RtL and LtR HMMs to recognise handwritten Farsi words of small- and medium-sized vocabularies
* Combining the use of CNN classification and strength-driven compression for the robust identification of bacterial species on hyperspectral culture plate images
* Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns
* Contour detection model based on neuron behaviour in primary visual cortex
* Convolution of 3D Gaussian surfaces for volumetric intensity inhomogeneity estimation and correction in 3D brain MR image data
* Convolutional neural network-based cow interaction watchdog
* Data-driven recovery of hand depth using CRRF on stereo images
* DCA-based unimodal feature-level fusion of orthogonal moments for Indian sign language dataset
* Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer
* Deep hashing network for material defect image classification
* Deep probabilistic human pose estimation
* Deep residual network with regularised fisher framework for detection of melanoma
* Dehazing of remote sensing images using fourth-order partial differential equations based trilateral filter
* Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data
* Depth features to recognise dyadic interactions
* Detecting heel strikes for gait analysis through acceleration flow
* Diffusion sensitivity enhancement filter for raw DWIs
* Dimensionality reduction by LPP-L21
* Dynamic background subtraction method based on spatio-temporal classification
* Dynamic ROI extraction method for hand vein images
* Effective outlier matches pruning algorithm for rigid pairwise point cloud registration using distance disparity matrix
* Elasticity-based matching by minimising the symmetric difference of shapes
* Energy expenditure estimation using visual and inertial sensors
* Enhanced multi-dataset transfer learning method for unsupervised person re-identification using co-training strategy
* Enhancement approach for liver lesion diagnosis using unenhanced CT images
* Evaluation of Levenberg-Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow-up
* Evaluation of shadow features
* Event-driven system for fall detection using body-worn accelerometer and depth sensor
* Extended cuckoo search-based kernel correlation filter for abrupt motion tracking
* Extracting statistically significant behaviour from fish tracking data with and without large dataset cleaning
* Eye feature point detection based on single convolutional neural network
* Facial expression recognition using intra-class variation reduced features and manifold regularisation dictionary pair learning
* Fine-grained recognition of maritime vessels and land vehicles by deep feature embedding
* Flower classification using deep convolutional neural networks
* Flying small target detection in IR images based on adaptive toggle operator
* Foreground extraction for freely moving RGBD cameras
* Fusion of structural and textural features for melanoma recognition
* Gait features fusion for efficient automatic age classification
* Graph regularised sparse NMF factorisation for imagery de-noising
* Greedy refinement of object proposals via boundary-aligned minimum bounding box search
* Hand geometry based user identification using minimal edge connected hand image graph
* High variation removal for background subtraction in traffic surveillance systems
* High-level feature aggregation for fine-grained architectural floor plan retrieval
* Histograms of sequences: a novel representation for human interaction recognition
* Human action recognition using similarity degree between postures and spectral learning
* Human motion segmentation using collaborative representations of 3D skeletal sequences
* Human pose estimation method based on single depth image
* Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images
* Image super-resolution via adaptive sparse representation and self-learning
* Improved dual-mode compressive tracking integrating balanced colour and texture features
* Improvement of angular velocity and position estimation in gyro-free inertial navigation based on vision aid equipment
* Joint attribute chain prediction for zero-shot learning
* Mammographic mass classification using filter response patches
* Mid-level deep Food Part mining for food image recognition
* Mouse face tracking using convolutional neural networks
* Moving object detection zone using a block-based background model
* Moving shadow detection based on stationary wavelet transform and Zernike moments
* MSCS: MeshStereo with Cross-Scale Cost Filtering for fast stereo matching
* Multi-bit quantisation for similarity-preserving hashing
* Multi-dimensional long short-term memory networks for artificial Arabic text recognition in news video
* Multi-image matching for object recognition
* Multi-instance multi-label learning of natural scene images: via sparse coding and multi-layer neural network
* Multi-layer fusion techniques using a CNN for multispectral pedestrian detection
* Multi-modality-based Arabic sign language recognition
* Multi-segments Naïve Bayes classifier in likelihood space
* Multi-stage ranking approach for fast person re-identification
* Multi-view pose estimation with mixtures of parts and adaptive viewpoint selection
* Non-concept density estimation via kernel regression for concept ranking in weakly labelled data
* NSCT-PCNN image fusion based on image gradient motivation
* Object sequences: encoding categorical and spatial information for a yes/no visual question answering task
* Open snake model based on global guidance field for embryo vessel location
* Palmprint gender classification by convolutional neural network
* Palmprint recognition using a modified competitive code with distinctive extended neighbourhood
* Perceptual quality evaluation for motion deblurring
* Perceptually motivated enhancement method for non-uniformly illuminated images
* Personalised-face neutralisation using best-matched face shape with a neutral-face database
* Precise depth map upsampling and enhancement based on edge-preserving fusion filters
* Real-time segmentation of various insulators using generative adversarial networks
* Recurrent neural networks for remote sensing image classification
* ResFusion: deeply fused scene parsing network for RGB-D images
* Review of constraints on vision-based gesture recognition for human-computer interaction
* Rigid blocks matching method based on contour curves and feature regions
* Robust non-rigid point set registration method based on asymmetric Gaussian and structural feature
* Robust tracking of multiple objects in video by adaptive fusion of subband particle filters
* Robust video tracking algorithm: a multi-feature fusion approach
* Single image dehazing and denoising combining dark channel prior and variational models
* Single-camera pose estimation using mirage
* Skeleton-based human activity recognition for elderly monitoring systems
* Smartphone camera-based analysis of ELISA using artificial neural network
* Static map reconstruction and dynamic object tracking for a camera and laser scanner system
* Statistical evaluation of corner detectors: does the statistical test have an effect?
* Structured RNN for human interaction
* Superpixel texture analysis for classification of breast masses in dense background
* Support vector machine approach to fall recognition based on simplified expression of human skeleton action and fast detection of start key frame using torso angle
* Target tracking approach via quantum genetic algorithm
* Texture-based feature extraction of smear images for the detection of cervical cancer
* Tracking objects with co-occurrence matrix and particle filter in infrared video sequences
* Tracking of group-housed pigs using multi-ellipsoid expectation maximisation
* Tucker tensor decomposition-based tracking and Gaussian mixture model for anomaly localisation and detection in surveillance videos
* Two-person activity recognition using skeleton data
* Using context from inside-out vision for improved activity recognition
* Using mel-frequency audio features from footstep sound and spatial segmentation techniques to improve frame-based moving object detection
* Variational image fusion approach based on TGV and local information
* Variational total curvature model for multiplicative noise removal
* Vertex-level three-dimensional shape deformability measurement based on line segment advection
* Vision-based game design and assessment for physical exercise in a robot-assisted rehabilitation system
* Visual glare limits of HDR displays in medical imaging
* Visual multiple-object tracking for unknown clutter rate
* Visual tracking using locality-constrained linear coding under a particle filtering framework
* Volumeter: 3D human body parameters measurement with a single Kinect
135 for IET-CV(12)

IET-CV(13) * *Guest Editorial: Visual Domain Adaptation and Generalisation
* 3D Layout encoding network for spatial-aware 3D saliency modelling
* Adaptive convolutional layer selection based on historical retrospect for visual tracking
* Adaptive convolutional neural network for large change in video object segmentation
* Adaptive dual fractional-order variational optical flow model for motion estimation
* Adaptive learning feature pyramid for object detection
* ANTIC: Antithetic isomeric cluster patterns for medical image retrieval and change detection
* Approach to 3D face reconstruction through local deep feature alignment
* Articulated Deformable Structure Approach to Human Motion Segmentation and Shape Recovery from an Image Sequence
* Attention-based spatial-temporal hierarchical ConvLSTM network for action recognition in videos
* Autoencoder-based abnormal activity detection using parallelepiped spatio-temporal region
* Bag of words KAZE (BoWK) with two-step classification for high-resolution remote sensing images
* Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition
* Correlation-guided multi-object tracking with correlation feature transfer
* Crack image detection based on fractional differential and fractal dimension
* Crowd counting using a self-attention multi-scale cascaded network
* Curve description by histograms of tangent directions
* CVABS: moving object segmentation with common vector approach for videos
* Deep cycle autoencoder for unsupervised domain adaptation with generative adversarial networks
* Deep learning for multiple object tracking: a survey
* Deep learning-based grasp-detection method for a five-fingered industrial robot hand
* Dempster-Shafer evidence theory-based multi-feature learning and fusion method for non-rigid 3D model retrieval
* Depth-based end-to-end deep network for human action recognition
* Detection of severity level of diabetic retinopathy using Bag of features model
* Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings
* Dual-scale weighted structural local sparse appearance model for object tracking
* Edge gradient feature and long distance dependency for image semantic segmentation
* Effective appearance model update strategy in object tracking
* Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
* End-to-end visual grounding via region proposal networks and bilinear pooling
* Estimation of 3D human hand poses with structured pose prior
* Feedback cascade regression model for face alignment
* Fully convolutional multi-scale dense networks for monocular depth estimation
* Fully-connected semantic segmentation of hyperspectral and LiDAR data
* Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition
* Heteroscedastic watermark detector in the contourlet domain
* HGR-Net: a fusion network for hand gesture segmentation and recognition
* Hierarchical extended collaborative representation based classification for single-sample face recognition
* ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation
* Image fusion method based on simultaneous sparse representation with non-subsampled contourlet transform
* Image unmosaicing without location information using stacked GAN
* Joint optimisation convex-negative matrix factorisation for multi-modal image collection summarisation based on images and tags
* Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks
* Low-rank path-following algorithm for 3D similarity registration
* Low-rank structured sparse representation and reduced dictionary learning-based abnormity detection
* Maximum margin object tracking with weighted circulant feature maps
* Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image
* Metric learning by simultaneously learning linear transformation matrix and weight matrix for person re-identification
* Moving vehicle tracking based on improved tracking-learning-detection algorithm
* Multi-cue combination network for action-based video classification
* Multi-sample inference network
* Multi-stream 3D CNN structure for human action recognition trained by limited data
* Multi-task learning for captioning images with novel words
* Multi-view learning for benign epilepsy with centrotemporal spikes
* Multi-view registration based on weighted LRS matrix decomposition of motions
* Neural aesthetic image reviewer
* New local difference binary image descriptor and algorithm for rapid and precise vehicle visual localisation
* Object detection and tracking under Complex environment using deep learning-based LPM
* Object detection for panoramic images based on MS-RPN structure in traffic road scenes
* Object detection using convolutional networks with adaptively adjusting receptive field of convolutional filter
* On combining active and transfer learning for medical data classification
* Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association
* Online video object segmentation via LRS representation
* Orthogonal object proposal and its application
* Partial bundle adjustment for accurate three-dimensional reconstruction
* Plant leaf classification using GIST texture features
* Real-time face recognition based on pre-identification and multi-scale classification
* Regularised transfer learning for hyperspectral image classification
* Relay dueling network for visual tracking with broad field-of-view
* Representation learning by hierarchical ELM auto-encoder with double random hidden layers
* Restoration algorithm for noisy complex illumination
* Robust and adaptive ROI extraction for hyperspectral dorsal hand vein images
* Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration
* Robust multi-view representation for spatial-spectral domain in application of hyperspectral image classification
* Robust visual tracking with adaptive initial configuration and likelihood landscape analysis
* Robustness of ToF and stereo fusion for high-accuracy depth map
* Salient object detection via reliable boundary seeds and saliency refinement
* SOD-CED: salient object detection for noisy images using convolution encoder-decoder
* Spontaneous facial expression database for academic emotion inference in online learning
* Total contribution score and fuzzy entropy based two-stage selection of FC, ReLU and inverseReLU features of multiple convolution neural networks for erythrocytes detection
* Towards path-based semantic dissimilarity estimation for scene representation using bottleneck analysis
* Video summarisation by deep visual and categorical diversity
* Video-based person re-identification based on regularised hull distance learning
* Virtual samples and sparse representation-based classification algorithm for face recognition
* Vision-based crater and rock detection using a cascade decision forest
* Visual tracking based on semantic and similarity learning
* Weakly supervised segment annotation via expectation kernel density estimation
* Zero-shot multi-label learning via label factorisation
88 for IET-CV(13)

IET-CV(14) * *Guest Editorial: Computer Vision for Smart Cameras and Camera Networks
* *Guest Editorial: Computer Vision for Smart Cameras and Camera Networks
* *Guest Editorial: Computer Vision for the Creative Industries
* 3D driver pose estimation based on joint 2D-3D network
* Accurate and fast single shot multibox detector
* Accurate scale estimation for visual tracking with significant deformation
* ADFNet: Accumulated decoder features for real-time semantic segmentation
* ADN for object detection
* Advances in colour transfer
* Adversarial examples detection through the sensitivity in space mappings
* Algorithm using supervised subspace learning and non-local representation for pose variation recognition
* Architecture to improve the accuracy of automatic image annotation systems
* Automated diabetic retinopathy grading and lesion detection based on the modified R-FCN object-detection algorithm
* Automatic drug pills detection based on enhanced feature pyramid network and convolution neural networks
* Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification
* Catadioptric hyperspectral imaging, an unmixing approach
* Combination of temporal-channels correlation information and bilinear feature for action recognition
* Converting video classification problem to image classification with global descriptors and pre-trained network
* Creative and diverse artwork generation using adversarial networks
* Crowd counting by the dual-branch scale-aware network with ranking loss constraints
* Deep emotion recognition based on audio-visual correlation
* Deep quantised portrait matting
* Detecting dense text in natural images
* Directional dense-trajectory-based patterns for dynamic texture recognition
* Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task
* Domain-invariant adversarial learning with conditional distribution alignment for unsupervised domain adaptation
* Drone swarm patrolling with uneven coverage requirements
* Dual attention module and multi-label based fully convolutional network for crowd counting
* Efficient complex ISAR object recognition using adaptive deep relation learning
* Ensemble of fine-tuned convolutional neural networks for urine sediment microscopic image classification
* Fusion of visual salience maps for object acquisition
* Generic wavelet-based image decomposition and reconstruction framework for multi-modal data analysis in smart camera applications
* GLStyleNet: exquisite style transfer combining global and local pyramid features
* Going beyond free viewpoint: creating animatable volumetric video of human performances
* Harnessing feedback region proposals for multi-object tracking
* Human-like evaluation method for object motion detection algorithms
* Identification of crop diseases using improved convolutional neural networks
* Image stylisation: from predefined to personalised
* Incremental transfer learning for video annotation via grouped heterogeneous sources
* Interactive facial animation with deep neural networks
* Learning Across Views for Stereo Image Completion
* Local descriptor for retinal fundus image registration
* Locally lateral manifolds of normalised Gabor features for face recognition
* Motion boundary emphasised optical flow method for human action recognition
* Motion-based frame interpolation for film and television effects
* Moving shadow detection via binocular vision and colour clustering
* Multi-mode neural network for human action recognition
* Multiscale bilateral filtering to detect 3D interest points
* Offline mobile diagnosis system for citrus pests and diseases using deep compression neural network
* Optimisation for image salient object detection based on semantic-aware clustering and CRF
* Optimisation-based training of evolutionary convolution neural network for visual classification applications
* Orthogonal random projection for tensor completion
* Partial disentanglement of hierarchical variational auto-encoder for texture synthesis
* Polyp detection using CNNs in colonoscopy video
* Pose-invariant face recognition based on matching the occlusion free regions aligned by 3D generic model
* Referring expression comprehension model with matching detection and linguistic feedback
* Regularising neural networks for future trajectory prediction via inverse reinforcement learning framework
* Robust locality preserving projections using angle-based adaptive weight method
* RootsGLOH2: embedding RootSIFT square rooting in sGLOH2
* RTL3D: real-time LIDAR-based 3D object detection with sparse CNN
* Scale specified single shot multibox detector
* Self-adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel learning strategy
* Semi-supervised uncorrelated dictionary learning for colour face recognition
* SGHs for 3D local surface description
* Skeleton-based attention-aware spatial-temporal model for action detection and recognition
* Spatial-temporal representation for video re-identification via key images
* SRP-AKAZE: an improved accelerated KAZE algorithm based on sparse random projection
* STDC-Flow: large displacement flow field estimation using similarity transformation-based dense correspondence
* Stroke controllable style transfer based on dilated convolutions
* Subgraph and object context-masked network for scene graph generation
* YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
71 for IET-CV(14)

IET-CV(15) * 3D object recognition with a linear time-varying system of overlay layers
* Adaptive learning cost-sensitive convolutional neural network
* aggregated deep convolutional recurrent model for event based surveillance video summarisation: A supervised approach, An
* CNN-Combined Graph Residual Network with Multilevel Feature Fusion for Hyperspectral Image Classification
* coarse to fine network for fast and accurate object detection in high-resolution images, A
* Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
* Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser
* Control the number of skip-connects to improve robustness of the NAS algorithm
* deep analysis on high-resolution dermoscopic image classification, A
* DualPathGAN: Facial reenacted emotion synthesis
* DVC-Net: A deep neural network model for dense video captioning
* Enhanced three-dimensional U-Net with graph-based refining for segmentation of gastrointestinal stromal tumours
* Enhancing feature fusion with spatial aggregation and channel fusion for semantic segmentation
* Entropy information-based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition
* Few-shot learning with relation propagation and constraint
* Fully automated glioma tumour segmentation using anatomical symmetry plane detection in multimodal brain MRI
* Going deeper: magnification-invariant approach for breast cancer classification using histopathological images
* Guest editorial: Graph learning for computer vision
* Hierarchical Bilinear Convolutional Neural Network for Image Classification
* How important is motion in sign language translation?
* Hybrid attention mechanism for few-shot relational learning of knowledge graphs
* Image translation with dual-directional generative adversarial networks
* Improving vehicle re-identification using CNN latent spaces: Metrics comparison and track-to-track extension
* Incremental multi-view correlated feature learning based on non-negative matrix factorisation
* interactive instance segmentation system with multi-resolution convolutional neural networks, An
* JCa2Co: A joint cascade convolution coding network based on fuzzy regional characteristics for infrared and visible image fusion
* L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving
* Learning view-invariant features using stacked autoencoder for skeleton-based gait recognition
* Micro-expression recognition by two-stream difference network
* Multi-camera traffic scene mosaic based on camera calibration
* Multi-factor joint normalisation for face recognition in the wild
* Multi-scale capsule generative adversarial network for snow removal
* Multiscale Fully Convolutional Network-Based Approach for Multilingual Character Segmentation
* Neural guided visual SLAM system with Laplacian of Gaussian operator
* Object tracking using temporally matching filters
* Online dense activity detection
* PL-VSCN: Patch-level vision similarity compares network for image matching
* Point cloud classification by dynamic graph CNN with adaptive feature fusion
* Point cloud super-resolution based on geometric constraints
* Pop-net: A self-growth network for popping out the salient object in videos
* Real-time multi-window stereo matching algorithm with fuzzy logic
* Robust 3D face reconstruction from single noisy depth image through semantic consistency
* SASO: Joint 3D semantic-instance segmentation via multi-scale semantic association and salient point clustering optimization
* Segmentation of natural images based on super pixel and graph merging
* TanhExp: A smooth activation function with high convergence speed for lightweight neural networks
* Three-dimensional shape reconstruction of objects from a single depth view using deep U-Net convolutional neural network with bottle-neck skip connections
* Tracking-DOSeqSLAM: A dynamic sequence-based visual place recognition paradigm
* tri-attention enhanced graph convolutional network for skeleton-based action recognition, A
* Video captioning via a symmetric bidirectional decoder
49 for IET-CV(15)

IET-CV(16) * Accurate localization of moving objects in dynamic environment for small unmanned aerial vehicle platform using global averaging
* Adaptive feedback connection with a single-level feature for object detection
* Auto calibration of multi-camera system for human pose estimation
* Batch quadratic programming network with maximum entropy constraint for anomaly detection
* binocular reconstruction based on perspective projection constraints and its application on robot eye-hand coordination, A
* Bounding-box deep caibration for high performance face detection
* Classification of hyperspectral images via improved cycle-MLP
* Contour loss for instance segmentation via k-step distance transformation image
* Cross-scale feature fusion connection for a YOLO detector
* DD-YOLO: An object detection method combining knowledge distillation and Differentiable Architecture Search
* Deep learning for 3D vision
* Deep learning in the grading of diabetic retinopathy: A review
* DEMVSNet: Denoising and depth inference for unstructured multi-view stereo on noised images
* Dense sampling and detail enhancement network: Improved small object detection based on dense sampling and detail enhancement
* Distribution probability-based self-adaption metric learning for person re-identification
* DPANet: Dual Pooling-aggregated Attention Network for fish segmentation
* Dual feature fusion network: A dual feature fusion network for point cloud completion
* dynamic routing CapsNet based on increment prototype clustering for overcoming catastrophic forgetting, A
* EAGAN: Event-based attention generative adversarial networks for optical flow and depth estimation
* Efficient 6D object pose estimation based on attentive multi-scale contextual information
* End-to-end global to local convolutional neural network learning for hand pose recovery in depth data
* Enhancing transferability of adversarial examples via rotation-invariant attacks
* Error Refactor loss based on error analysis in image classification
* Exploring complementary information of self-supervised pretext tasks for unsupervised video pre-training
* Exploring the Spatio-Temporal Aware Graph for video captioning
* FCNet: A feature context network based on ensemble framework for image retrieval
* Gait-D: Skeleton-based gait feature decomposition for gait recognition
* Gaussian guided IoU: A better metric for balanced learning on object detection
* Ghost shuffle lightweight pose network with effective feature representation and learning for human pose estimation
* HQA-Trans: An end-to-end high-quality-awareness image translation framework for unsupervised cross-domain pedestrian detection
* Improved quadruple sparse census transform and adaptive multi-shape aggregation algorithms for precise stereo matching
* KText: Arbitrary shape text detection using modified K-Means
* Lightweight and Deep Appearance Embedding for Multiple Object Tracking
* LineGAN: An image colourisation method combined with a line art network
* M-CoTransT: Adaptive spatial continuity in visual tracking
* Multi-stage attention network for video-based person re-identification
* Multi-stream adaptive spatial-temporal attention graph convolutional network for skeleton-based action recognition
* Multi-stream densely connected network for semantic segmentation
* novel visual classification framework on panoramic attention mechanism network, A
* Parallax-based second-order mixed attention for stereo image super-resolution
* PCCN-RE: Point cloud colourisation network based on relevance embedding
* Person Re-identification Based on Feature Erasure and Diverse Feature Learning
* Point cloud completion by dynamic transformer with adaptive neighbourhood feature fusion
* Redefining prior feature space via finetuning a triplet network for few-shot learning
* robust and efficient method for skeleton-based human action recognition and its application for cross-dataset evaluation, A
* Scale robust point matching-Net: End-to-end scale point matching using Lie group
* Semantic-aware spatial regularization correlation filter for visual tracking
* Semantic-meshed and content-guided transformer for image captioning
* Sparse point-voxel aggregation network for efficient point cloud semantic segmentation
* Spatial-temporal slowfast graph convolutional network for skeleton-based action recognition
* Temporal-Enhanced Graph Convolution Network for Skeleton-Based Action Recognition
* Tensor local linear embedding with global subspace projection optimisation
* tooth surface design method combining semantic guidance, confidence, and structural coherence, A
* Topic scene graphs for image captioning
* TRC-YOLO: A real-time detection method for lightweight targets based on mobile devices
* Two-stage partial image-text clustering (TPIT-C)
* View graph construction for scenes with duplicate structures via graph convolutional network
* Without detection: Two-step clustering features with local-global attention for image captioning
58 for IET-CV(16)

IET-CV(17) * 3D layout estimation of general rooms based on ordinal semantic segmentation
* 3D-FEGNet: A feature enhanced point cloud generation network from a single image
* ACGAN: Age-compensated makeup transfer based on homologous continuity generative adversarial network model
* Attribute-guided transformer for robust person re-identification
* Cascading AB-YOLOv5 and PB-YOLOv5 for rib fracture detection in frontal and oblique chest X-ray images
* CAT: Learning to collaborate channel and spatial attention from multi-information fusion
* CDF-net: A convolutional neural network fusing frequency domain and spatial domain features
* CDFM: A cross-domain few-shot model for marine plankton classification
* Copy-paste with self-adaptation: A self-adaptive adjustment method based on copy-paste augmentation
* Cross-modality person re-identification using hybrid mutual learning
* DASTSiam: Spatio-temporal fusion and discriminative enhancement for Siamese visual tracking
* Denseformer: A dense transformer framework for person re-identification
* Domain adaptive crowd counting via dynamic scale aggregation network
* Domain-invariant attention network for transfer learning between cross-scene hyperspectral images
* Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation
* DSGEM: Dual scene graph enhancement module-based visual question answering
* dual-balanced network for long-tail distribution object detection, A
* dual-modal graph attention interaction network for person Re-identification, A
* Dynamic Adjust-Head Siamese network for object tracking, A
* Dynamic deformable transformer for end-to-end face alignment
* efficient mixed attention module, An
* Elastic temporal alignment for few-shot action recognition
* encoder-decoder framework with dynamic convolution for weakly supervised instance segmentation, An
* Exploiting spatio-temporal knowledge for video action recognition
* Facial attribute classification by deep mining inter-attribute correlations
* Facial expression recognition based on regional adaptive correlation
* Few-shot classification using Gaussianisation prototypical classifier
* Few-shot logo detection
* Fine-grained classification of intracranial haemorrhage subtypes in head CT scans
* fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation, A
* FPC-Net: Learning to detect face forgery by adaptive feature fusion of patch correlation with CG-Loss
* Generalizable and efficient cross-domain person re-identification model using deep metric learning
* Global centralised and structured discriminative non-negative matrix factorisation for hyperspectral unmixing
* Guest Editorial: Learning from limited annotations for computer vision tasks
* Guest Editorial: Spectral imaging powered computer vision
* High-precision skeleton-based human repetitive action counting
* Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction
* Improving multispectral pedestrian detection with scale-aware permutation attention and adjacent feature aggregation
* Integration graph attention network and multi-centre constrained loss for cross-modality person re-identification
* Integration graph attention network and multi-centre constrained loss for cross-modality person re-identification
* latent topic-aware network for dense video captioning, A
* Learning body part-based pose lexicons for semantic action recognition
* LiteCCLKNet: A lightweight criss-cross large kernel convolutional neural network for hyperspectral image classification
* Long short-distance topology modelling of 3D point cloud segmentation with a graph convolution neural network
* Loop and distillation: Attention weights fusion transformer for fine-grained representation
* LSUnetMix: Fuse channel feature information with long-short term memory
* Makeup transfer: A review
* MCR: Multilayer cross-fusion with reconstructor for multimodal abstractive summarisation
* MFF: An effective method of solving the ill regions in stereo matching
* MFNet: Panoptic segmentation network based on multiscale feature weighted fusion and frequency domain attention mechanism
* Monocular 3D object detection via Mask-Revised Network and quality perception loss
* monocular image depth estimation method based on weighted fusion and point-wise convolution, A
* MTSCANet: Multi temporal resolution temporal semantic context aggregation network
* Multi-directional feature refinement network for real-time semantic segmentation in urban street scenes
* multi-scale feature representation and interaction network for underwater object detection, A
* Multi-scale pedestrian detection with global-local attention and multi-scale receptive field context
* Multi-task few-shot learning with composed data augmentation for image classification
* Multi-template temporal information fusion for Siamese object tracking
* Multiple object tracking based on quadratic graph matching
* Neural network acceleration methods via selective activation
* novel parameter decoupling approach of personalised federated learning for image analysis, A
* Online deep Bingham network for probabilistic orientation estimation
* Online multiple object tracking with enhanced Re-identification
* PCformer: A parallel convolutional transformer network for 360° depth estimation
* Point completion by a Stack-Style Folding Network with multi-scaled graphical features
* Position-aware spatio-temporal graph convolutional networks for skeleton-based action recognition
* Recurrent unit augmented memory network for video summarisation
* Refinement Co-supervision network for real-time semantic segmentation
* SA-FlowNet: Event-based self-attention optical flow estimation with spiking-analogue neural networks
* Selective feature fusion network for salient object detection
* self-distillation object segmentation method via frequency domain knowledge augmentation, A
* Self-supervised image clustering from multiple incomplete views via constrastive complementary generation
* Self-supervised non-rigid structure from motion with improved training of Wasserstein GANs
* Semantics recalibration and detail enhancement network for real-time semantic segmentation
* SiamCCF: Siamese visual tracking via cross-layer calibration fusion
* Sketch face recognition based on light semantic Transformer network
* TANet: Transformer-based asymmetric network for RGB-D salient object detection
* Texture and semantic convolutional auto-encoder for anomaly detection and segmentation
* Triple critical feature capture network: A triple critical feature capture network for weakly supervised object detection
* Unsupervised detection of contrast enhanced highlight landmarks
* Video2mesh: 3D human pose and shape recovery by a temporal convolutional transformer network
* Violence 4D: Violence detection in surveillance using 4D convolutional neural networks
* Zero-shot temporal event localisation: Label-free, training-free, domain-free
83 for IET-CV(17)

IET-CV(18) * CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 lung lesion localisation
* Determining the proper number of proposals for individual images
* Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training
* Enhancing human parsing with region-level learning
* Feature fusion over hyperbolic graph convolution networks for video summarisation
* Improved triplet loss for domain adaptation
* Improving object detection by enhancing the effect of localisation quality evaluation on detection confidence
* IoUNet++: Spatial cross-layer interaction-based bounding box regression for visual tracking
* Lite-weight semantic segmentation with AG self-attention
* Low-rank preserving embedding regression for robust image feature extraction
* Mirror complementary transformer network for RGB-thermal salient object detection
* Robust object tracking via ensembling semantic-aware network and redetection
* STFT: Spatial and temporal feature fusion for transformer tracker
* Visual privacy behaviour recognition for social robots based on an improved generative adversarial network
14 for IET-CV(18)

IET-CV(2) * 3D structure inference by integrating segmentation and reconstruction from a single image
* Affine invariant matching of broken boundaries based on an enhanced genetic algorithm and distance transform
* Automatic extraction of lips based on multi-scale wavelet edge detection
* Dimensionality reduction for more stable vision parameter estimation
* Discriminant analysis of the two-dimensional Gabor features for face recognition
* Editorial: Selected papers from the Digital Image Computing Technology and Applications conference 2007 (DICTA 2007)
* Editorial: Visual Information Engineering
* Energy-based video tracking using joint target density processing with an application to unmanned aerial vehicle surveillance
* Extraction of activity patterns on large video recordings
* Harnessing defocus blur to recover high-resolution information in shape-from-focus technique
* How to make local image features more efficient and distinctive
* In vivo assessment of alveolar morphology using a flexible catheter-based confocal microscope
* Local 3D structure recognition in range images
* Modelling periodic scene elements for visual surveillance
* Performance evaluation of local features in human classification and detection
* quadratic programming approach to image labelling, A
* Road sign detection using eigen colour
* Stable bi-level and multi-level thresholding of images using a new global transformation
* Task-related population characteristics in handwriting analysis
* Template-guided inspection of arbitrarily oriented targets
* Temporal reasoning for scenario recognition in video-surveillance using Bayesian networks
* Towards automatic performance-driven animation between multiple types of facial model
22 for IET-CV(2)

IET-CV(3) * Adaptive colour classification for structured light systems
* Automatic skin segmentation and tracking in sign language recognition
* Combining classifiers through fuzzy cognitive maps in natural images
* Discriminant analysis based on modified generalised singular value decomposition and its numerical error analysis
* Estimating fibre orientation in spruce using lighting direction
* Face tracking and pose estimation with automatic three-dimensional model construction
* Iris recognition on edge maps
* Local probabilistic descriptors for image categorisation
* Lossless parameterisation of image contour for shape recognition
* Real-time identification using a canonical face depth map
* Relating intensities with three-dimensional facial shape using partial least squares
* Robust face recognition using posterior union model based neural networks
* Special Issue on 3D Face Processing
* Vision-based monitoring method using gray relational analysis
* Wand-based calibration of 3D kinematic system
15 for IET-CV(3)

IET-CV(4) * Aspect coherence for graph-based semantic image labelling
* Automatic identification of landmarks in digital images
* Efficient eye detection method based on grey intensity variance and independent components analysis
* Environment classification and hierarchical lane detection for structured and unstructured roads
* Face recognition using enhanced linear discriminant analysis
* Fundamental matrix of planar catadioptric stereo systems
* Gait recognition using active shape model and motion prediction
* Generic approach to 3D elastic model fitting to volume data
* Height estimation from monocular image sequences using dynamic programming with explicit occlusions
* Hierarchical pose classification based on human physiology for behaviour analysis
* Modelling visual saliency using degree centrality
* Motion tracking based on area and level set weighted centroid shifting
* Multimodal biometric method based on vein and geometry of a single finger
* Multiple kernels for generalised discriminant analysis
* Nearest-neighbour ensembles in lasso feature subspaces
* New multi-resolution image stitching with local and global alignment
* Non-iterative stippling of greyscale threedimensional polygon meshed models
* Object tracking using AM-FM image features
* Preserving global and local information: A combined approach for recognising face image
* Recovering surface normal of specular object by Hough transform method
* Shape from shading using wavelets and weighted smoothness constraints
* Spatio-temporal motion-based foreground segmentation and shadow suppression
* Statistical interpretation of non-local means
* Study on the performance of moments as invariant descriptors for practical face recognition systems
* Urban road user detection and classification using 3D wire frame models
* Why not use the Levenberg-Marquardt method for fundamental matrix estimation?
26 for IET-CV(4)

IET-CV(5) * Alignment of non-texture video frames using kalman filter
* Analysis of physical ageing effects in iris biometrics
* Analysis of spatial domain information for footstep recognition
* Augmenting photometric stereo with coaxial illumination
* Context-based biometric key generation for Iris
* Contour-based iterative pose estimation of 3D rigid object
* Correlating fourier descriptors of local patches for road sign recognition
* Digital Image Computing Techniques and Applications (DICTA) Conference 2009
* Embedded implementation of image-based water-level measurement system
* Face recognition using regularised generalised discriminant locality preserving projections
* Fast semi-global stereo matching via extracting disparity candidates from region boundaries
* Feature extraction based on fuzzy local discriminant embedding with applications to face recognition
* Future trends in biometric processing
* General framework of the construction of biorthogonal wavelets based on bernstein bases: theory analysis and application in image compression
* Hand vein biometry based on geometry and appearance methods
* Improving Harris corner selection strategy
* Incremental object matching and detection with Bayesian methods and particle filters
* Integral image compression based on optical characteristic
* Iris matching using multi-dimensional artificial neural network
* Isocube-based spherical wavelet for image-based relighting
* Lung segmentation in chest radiographs by fusing shape information in iterative thresholding
* Motion vector generation for video coding by gray prediction
* Multi-object visual tracking based on reversible jump Markov chain Monte Carlo
* Omni-directional vision system with fibre grating device for obstacle detection
* Paper Fingerprinting Using alpha-Masked Image Matching
* Particle filter to track multiple people for visual surveillance
* Performance of active appearance model-based pose-robust face recognition
* Polygonal shape reconstruction in the plane
* Quantitative evaluation of the effects of aging on biometric templates
* Real-time tracking using A* heuristic search and template updating
* Robust face recognition with partial occlusion, illumination variation and limited training data by optimal feature selection
* Rotation invariant complex Zernike moments features and their applications to human face and character recognition
* Scene classification in compressed and constrained domain
* Structured learning approach to image descriptor combination
* Texture description in local scale using texton histograms with quadrature filter universal dictionaries
* Three-dimensional machine vision and machine-learning algorithms applied to quality control of percussion caps
* Three-dimensional point-based shape registration algorithm based on adaptive distance function
* Towards contactless palmprint authentication
* Unobtrusive multi-modal biometric recognition using activity-related signatures
* Use of feedback strategies in the detection of events for video surveillance
* Visual tracking of partially observable targets with suboptimal filtering
* Wide baseline correspondence extraction beyond local features
42 for IET-CV(5)

IET-CV(6) * Adaptive mean-shift for automated multi object tracking
* Adaptive pattern spectrum image description using Euclidean and Geodesic distance without training for texture classification
* Adaptive spatiotemporal background modelling
* Backgroundless detection of pedestrians in cluttered conditions based on monocular images: a review
* Brain magnetic resonance image segmentation based on an adapted non-local fuzzy c-means method
* Camera parameters estimation in soccer scenes on the basis of points at infinity
* Circle detection on images using learning automata
* Codebook reconstruction with holistic information fusion
* Conditional random field-based image labelling combining features of pixels, segments and regions
* Cooperative simultaneous localisation and mapping using independent Rao-Blackwellised filters
* Crowded pedestrian counting at bus stops from perspective transformations of foreground areas
* Curvelet transform-based technique for tracking of moving objects
* Depth measurement using single camera with fixed camera parameters
* Depth space partitioning for omni-stereo object tracking
* Depth-based image registration via three-dimensional geometric segmentation
* Distributed RANSAC for the robust estimation of three-dimensional reconstruction
* Empirical investigation into the correlation between vignetting effect and the quality of sensor pattern noise
* Estimating inter-personal deformation with multi-scale modelling between expression for three-dimensional face recognition
* Evaluation of two-part algorithms for objects' depth estimation
* Face colour synthesis using partial least squares and the luminance-alpha-colour transform
* Face recognition based on a two-view projective transformation using one sample per subject
* Facial expression recognition based on geometric and optical flow features in colour image sequences
* Fast tracking algorithm using modified potential function
* Four-point-algorithm for the recovery of the pose of a one-dimensional camera with unknown focal length
* Fusion of visual cues of intensity and texture in Markov random fields image segmentation
* Hand-based multimodal identification system with secure biometric template storage
* Hierarchical stochastic fast search motion estimation algorithm
* Illumination compensation for nominally planar surface recovery
* Integrate tool for online analysis and offline mining of people trajectories
* Introducing fuzzy decision stumps in boosting through the notion of neighbourhood
* Local binary pattern and its derivatives for face recognition
* Many-to-many feature matching in object recognition: a review of three approaches
* Marker-based quadri-ocular tracking system for surgery
* Measuring empirical discrepancy in image segmentation results
* Multi-human tracking from sparse detection responses
* Multimodal imaging: modelling and segmentation with biomedical applications
* Multiresolution energy minimisation framework for stereo matching
* Multiview geometry in traditional vision and omnidirectional vision under the L_inf-norm
* Non-linear factorised dynamic shape and appearance models for facial expression analysis and tracking
* One class boundary method classifiers for application in a video-based fall detection system
* Partial differential equation-based dense 3D structure and motion estimation from monocular image sequences
* People/vehicle classification by recurrent motion of skeleton features
* Recognising human actions by analysing negative spaces
* Robust affine iterative closest point algorithm with bidirectional distance
* Robust mean-shift tracking with corrected background-weighted histogram
* Robust solution to three-dimensional pose estimation using composite extended Kalman observer and Kalman filter
* Robust three-dimensional vehicle reconstruction using cross-ratio invariance
* Saliency in images and video: a brief survey
* Scale and orientation adaptive mean shift tracking
* Semi-supervised manifold learning based on 2-fold weights
* Sparse local discriminant projections for discriminant knowledge extraction and classification
* Stereo matching based on nonlinear diffusion with disparity-dependent support weights
* Target detection for very high-frequency synthetic aperture radar ground surveillance
* Three-dimensional curve reconstruction from multiple images
* Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network
* Vanishing point detection in corridors: using hough transform and K-means clustering
* Video-based signature verification and pen-grasping posture analysis for user-dependent identification authentication
* Vision-based hand pose estimation through similarity search using the earth mover's distance
* Who is who at different cameras: People Re-Identification Using Depth Cameras
* Wide band spectroscopic skin detection for contactless hand biometrics
60 for IET-CV(6)

IET-CV(7) * Adaptive earth movers distance-based Bayesian multi-target tracking
* Adaptive shadow detection using global texture and sampling deduction
* Adaptive tracking algorithms to improve the use of computing resources
* Assessment of stereo camera calibration techniques for a portable mobile mapping system
* Automatic classification of medical X-ray images using a bag of visual words
* Automatic clustering method based on evolutionary optimisation
* Automatic face image annotation based on a single template with constrained warping deformation
* Background suppression of small target image based on fast local reverse entropy operator
* Body posture graph: a new graph-based posture descriptor for human behaviour recognition
* Compressive tracking via oversaturated sub-region classifiers
* Critical parameters of the sparse representation-based classifier
* density-based enhancement to dominant sets clustering, A
* Description of shape patterns using circular arcs for object detection
* Dezert-Smarandache theory for multiple targets tracking in natural environment
* Efficient algorithms for detection of face, eye and eye state
* Fingerprint retrieval by spatial modelling and distorted sample generation
* Fragile and blind watermarking technique based on Weber's law for medical image authentication
* Fusion of dense spatial features and sparse temporal features for three-dimensional structure estimation in urban scenes
* Hierarchical spatial pyramid max pooling based on SIFT features and sparse coding for image classification
* Illumination invariant stationary object detection
* Imaging spectroscopy for scene analysis: challenges and opportunities
* Improved complete neighbourhood preserving embedding for face recognition
* Kernel least absolute shrinkage and selection operator regression classifier for pattern classification
* Locally discriminative stable model for visual tracking with clustering and principle component analysis
* Meteorological approach for detection and removal of rain from videos
* Multiple instance learning tracking method with local sparse representation
* Mutual information-based binarisation of multiple images of an object: An application in medical imaging
* New unsupervised hybrid classifier based on the fuzzy integral: applied to natural textured images
* Non-linear dimensionality reduction using fuzzy lattices
* Non-negative matrix factorisation based on fuzzy K nearest neighbour graph and its applications
* Novel affine-invariant curve descriptor for curve matching and occluded object recognition
* Object tracking using firefly algorithm
* Online stroke segmentation by quick penalty-based dynamic programming
* Probabilistic gait modelling and recognition
* RBRIEF: a robust descriptor based on random binary comparisons
* Real-time depth enhancement by fusion for RGB-D cameras
* Real-time dynamic vehicle detection on resource limited mobile platform
* Removal of dynamic weather conditions based on variable time window
* Robust and accurate online pose estimation algorithm via efficient three-dimensional collinearity model
* Selection of unique gaze direction based on pupil position
* Shape and appearance priors for level set-based left ventricle segmentation
* Single colour one-shot scan using modified penrose tiling pattern
* Soft computing applied to the build of textile defects inspection system
* Soft shape registration under lie group frame
* Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination
* Traffic flow estimation and vehicle-type classification using vision-based spatial-temporal profile analysis
* Using vanishing points to estimate parameters of fisheye camera
* Vertical edge-based mapping using range-augmented omnidirectional vision sensor
* Window-based approach for fast stereo correspondence
49 for IET-CV(7)

IET-CV(8) * Adaptive face modelling for reconstructing 3D face shapes from single 2D images
* Adaptive region matching for region-based image retrieval by constructing region importance index
* Adaptive weighted real-time compressive tracking
* Alternative formulations to compute the binary shape Euler number
* Analysis of planar-motion segmentation using affine fundamental matrix
* Appearance-based approach for complete human jaw shape reconstruction
* Augmented Lagrangian-based approach for dense three-dimensional structure and motion estimation from binocular image sequences
* Automatic object segmentation of unstructured scenes using colour and depth maps
* Automatic target recognition of synthetic aperture radar (SAR) images based on optimal selection of Zernike moments features
* Background segmentation of dynamic scenes based on dual model
* Bhattacharyya distance-based irregular pyramid method for image segmentation
* Camera matching based on spatiotemporal activity and conditional random field model
* Co-segmentation of multiple similar images using saliency detection and region merging
* Contour matching using the affine-invariant support point set
* Depth order estimation for video frames using motion occlusions
* Development of a robust active infrared-based eye tracker
* Development of gesture-based human-computer interaction applications by fusion of depth and colour video streams
* Exact image representation via a number-theoretic radon transform
* Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm
* Face recognition based on the fusion of global and local HOG features of face images
* Facial expression recognition considering individual differences in facial structure and texture
* Fusing target information from multiple views for robust visual tracking
* Global and local exploitation for saliency using bag-of-words
* Gradient descent with adaptive momentum for active contour models
* Head pose estimation and face recognition using a non-linear tensor-based model
* Hierarchical tone mapping based on image colour appearance model
* Histogram of gradient phases: A new local descriptor for face recognition
* Human action recognition using weighted pooling
* Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance
* Image-based surface deformation for multi-view three-dimensional facial reconstruction
* Improved appearance updating method in multiple instance learning tracking
* Internal-to-internal transition method for consecutive hierarchical template matching
* Kernel sparse tracking with compressive sensing
* Local feature fitting active contour for segmenting vessels in angiograms
* Locally adaptive combining colour and depth for human body contour tracking using level set method
* Low-resolution face recognition in uses of multiple-size discrete cosine transforms and selective Gaussian mixture models
* Matching corners using the informative arc
* Motion of moving camera from point matches: Comparison of two robust estimation methods
* Moving shadow detection and removal: A wavelet transform based approach
* Multi-scale contrast-based saliency enhancement for salient object detection
* Multimodal random forest based tensor regression
* Multiplayer tracking system for short track speed skating
* Multiplayer tracking system for short track speed skating
* Multiple subsequence combination in human action recognition
* Non-destructive automatic leaf area measurements by combining stereo and time-of-flight images
* Non-subsampled contourlet transform based image Denoising in ultrasound thyroid images using adaptive binary morphological operations
* Normal map recovery using bundle adjustment
* Optimal colour-based mean shift algorithm for tracking objects
* Part-based pose estimation with local and non-local contextual information
* Partially occluded pedestrian classification using histogram of oriented gradients and local weighted linear kernel support vector machine
* Personalised face neutralisation based on subspace bilinear regression
* Probabilistic shape-based segmentation method using level sets
* Real-time text tracking in natural scenes
* Recognising human interaction from videos by a discriminative model
* Review of person re-identification techniques
* Robust local stereo matching under varying radiometric conditions
* Robust object tracking algorithm based on sparse eigenbasis
* robust two-stage face recognition system with localisation error compensation, A
* Robust vehicle tracking algorithm for nighttime videos captured by fixed cameras in highly reflective environments
* Robust visual tracking based on watershed regions
* Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction
* Single image haze removal using content-adaptive dark channel and post enhancement
* Survey of single-target visual tracking methods based on online learning
* Ternary contextualised histogram pattern for curve matching
* Tracking with scattering descriptor
* Video face recognition via combination of real-time local features and temporal-spatial cues
* Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood
* Weakly supervised learning of semantic colour terms
* Wide baseline stereo matching based on scale invariant feature transformation with hybrid geometric constraints
69 for IET-CV(8)

IET-CV(9) * *Editorial: Special Issue on Unsupervised Feature Learning for Vision
* Active learning combining uncertainty and diversity for multi-class image classification
* Adaptive learning region importance for region-based image retrieval
* Addressing the illumination challenge in two-dimensional face recognition: a survey
* Advanced weight graph transformation matching algorithm
* Auto-Encoder-Based Shared Mid-Level Visual Dictionary Learning for Scene Classification Using Very High Resolution Remote Sensing Images
* Automatic image annotation by a loosely joint non-negative matrix factorisation
* Automatic image-based detection and inspection of paper fibres for grasping
* Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images
* Bi-level thresholding for binarisation of handwritten and printed documents
* Calibration and object correspondence in camera networks with widely separated overlapping views
* Calibration of multiple fish-eye cameras using a wand
* Cascade of forests for face alignment
* Colour-feature dual discriminating correlation analysis for face recognition
* Conjugate gradient algorithm for efficient covariance tracking with Jensen-Bregman LogDet metric
* Continuous camera placement using multiple objective optimisation process
* Cooperative object tracking using dual-pan-tilt-zoom cameras based on planar ground assumption
* Cross-view face recognition via structured dictionary based domain shift
* Density-based region search with arbitrary shape for object localisation
* Detecting partially occluded vehicles with geometric and likelihood reasoning
* Discriminating features learning in hand gesture classification
* Edge detection based on the Shannon Entropy by piecewise thresholding on remote sensing images
* Effective background modelling and subtraction approach for moving object detection
* Effective ellipse detector with polygonal curve and likelihood ratio test
* Efficient levels of spatial pyramid representation for local binary patterns
* Efficient vanishing point detection method in complex urban road environments
* Enhanced fast compressive tracking based on adaptive measurement matrix
* Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions
* Estimation of disparity map of stereo image pairs using spatial domain local Gabor wavelet
* Expanding dictionary for robust face recognition: Pixel is not necessary while sparsity is
* Experimental study on dominant sets clustering
* Face recognition under varying illumination based on adaptive homomorphic eight local directional patterns
* Face recognition: challenges, achievements and future directions
* Face recognition: handling data misalignments implicitly by fusion of sparse representations
* Face tracking based on differential harmony search
* Fast and accurate multi-view reconstruction by multi-stage prioritised matching
* Fast smoothing technique with edge preservation for single image dehazing
* Global three-dimensional-mesh indexing based on structural analysis and geometrical signatures
* Graph clustering by congruency approximation
* Illumination invariant face recognition based on dual-tree complex wavelet transform
* Image clustering using exponential discriminant analysis
* Image dehazing using two-dimensional canonical correlation analysis
* Improved anisotropic diffusion equation based on new non-local information scheme for image denoising
* Indian topographical map symbols understanding system
* Individual-specific management of reference data in adaptive ensembles for face re-identification
* Integrated self-calibration of single axis motion for three-dimensional reconstruction of roots
* Invariant foreground occupation ratio for scale adaptive mean shift tracking
* Inverse texture synthesis in wavelet packet trees
* Kernel-based sliding mode control for visual servoing system
* Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure
* Learning multi-planar scene models in multi-camera videos
* Local image descriptor based on spectral embedding
* Log-Euclidean bag of words for human action recognition
* Loose L1/2 regularised sparse representation for face recognition
* Measuring Meaningful Information in Images: Algorithmic Specified Complexity
* Modelling, synthesis and characterisation of occlusion in videos
* Morphological mapping for non-linear dimensionality reduction
* Motion objects segmentation based on structural similarity background modelling
* Multi-aircrafts tracking using spatial-temporal constraints-based intra-frame scale-invariant feature transform feature matching
* Multi-scale mean shift tracking
* Multi-scale saliency detection via inter-regional shortest colour path
* Noise modelling for denoising and three-dimensional face recognition algorithms performance evaluation
* Noise modelling in time-of-flight sensors with application to depth noise removal and uncertainty estimation in three-dimensional measurement
* Nose tip detection on three-dimensional faces using pose-invariant differential surface features
* Online visual tracking by integrating spatio-temporal cues
* Particle filter framework for salient object detection in videos
* Particle filter with spline resampling and global transition model
* People detection in surveillance: classification and evaluation
* Perceptual grouping by tensor voting: A comparative survey of recent approaches
* Probabilistic principal component analysis for texture modelling of adaptive active appearance models and its application for head pose estimation
* Recognition improvement through the optimisation of learning instances
* Revamped fly-over for accurate colon visualisation in virtual colonoscopy
* Robust tracking with per-exemplar support vector machine
* Salient region detection: An integration approach based on image pyramid and region property
* Scale-invariant feature matching based on pairs of feature points
* Scene text detection method based on the hierarchical model
* Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary
* Sensor pattern noise and image similarity for picture-to-identity linking
* Sequence-to-sequence alignment using a pendulum
* Shape matching algorithm based on shape contexts
* Shape matching and object recognition using common base triangle area
* Shape recognition using orientational and morphological scale-spaces of curvatures
* Smartphone image acquisition forensics using sensor fingerprint
* Spatial codification of label predictions in multi-scale stacked sequential learning: a case study on multi-class medical volume segmentation
* Statistical analysis of three-dimensional optical flow separability in volumetric images
* Stereo matching based on segmented B-spline surface fitting and accelerated region belief propagation
* Strategy for aesthetic photography recommendation via collaborative composition model
* Text detection and recognition in natural scene with edge analysis
* Tone mapping based on fast image decomposition and multi-layer fusion
* Tracking with spatial constrained coding
* Trajectory-based view-invariant hand gesture recognition by fusing shape and orientation
* Unsupervised discovery of human activities from long-time videos
* Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images
* Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition
* Using statistical characteristics of gradient phases for robust face recognition under illumination variations
* Vertebral body segmentation using a probabilistic and universal shape model
* Very large-scale integration architecture for video stabilisation and implementation on a field programmable gate array-based autonomous vehicle
97 for IET-CV(9)

IET-IP(10) * Abnormal event detection and localisation in traffic videos based on group sparse topical coding
* Extrinsic parameters and focal length calibration using rotation-symmetric patterns
* Fast coding unit decision and mode selection for intra-frame coding in high-efficiency video coding
* High-dynamic range image generation from single low-dynamic range image
* Junction-aware water flow approach for urban road network extraction
* Neural network technique for image compression
* Quality metric-based fitness function for robust watermarking optimisation with Bees algorithm
* Single Image Dehazing Via Multi-Scale Gradient Domain Contrast Enhancement
* Video stabilisation based on modelling of motion imaging
9 for IET-IP(10)

IET-IPR( Vol No. ) * *IET Image Processing

IET-IPR(1) * Advanced indexing schema for imaging applications: three case studies
* Automatic segmentation of cells from microscopic imagery using ellipse detection
* Block adaptive binarisation of ill-conditioned business card images acquired in a PDA using a modified quadratic filter
* Block motion estimation using adaptive modified two-bit transform
* Bottom-up spatiotemporal visual attention model for video analysis
* Classified image compression using optimally structured auto-association networks
* Computationally fast techniques to reduce AWGN and speckle in videos
* Contour evolution scheme for variational image segmentation and smoothing
* Document binarisation using Kohonen SOM
* Dual-layer approach for improved mesh-based motion compensation
* Dynamic frame-skipping transcoding with motion information considered
* Energy efficient novel architectures for the lifting-based discrete wavelet transform
* Error resilient video coding with priority data classification using H.264 flexible macroblock ordering
* Error-resilient pattern classification using a combination of spreading and coding gains
* Fast numerical scheme for gradient vector flow computation using a multigrid method
* General methods for L/M-fold resizing of compressed images using lapped transforms
* Geometrical-based algorithm for variational segmentation and smoothing of vector-valued images
* Grey level reduction for segmentation, threshholding and binarisation of images based on optimal partitioning on an interval
* Hybrid error concealments based on block content
* Image denoising algorithm via best wavelet packet base using Wiener cost function
* Lossless image compression using binary wavelet transform
* Mathematical-morphology-based edge detectors for detection of thin edges in low-contrast regions
* Multiresolution video object extraction fitted to scalable wavelet-based object coding
* Probabilistic convexity measure
* Progressive content access to databases of JPEG-compressed images
* Robust global motion estimation and novel updating strategy for sprite generation
* Shape-based retrieval of industrial surface defects using angular radius Fourier descriptor
* Spatial error concealment method based on POCS with a correlation-based initial block
* Spatial kernel K-harmonic means clustering for multi-spectral image segmentation
* Technique to correct yellowing and foxing in antique books
* TIFS: A hybrid scheme integrating partitioned iterated function system and linear transforms
* Using pano-mapping tables for unwarping of omni-images into panoramic and perspective-view images
* Variational PDE based image restoration using neural network
* Visual information fusion for object-based video image segmentation using unsupervised Bayesian online learning
* Wavelet and multiwavelet watermarking
* Wavelet domain-based video noise reduction using temporal discrete cosine transform and hierarchically adapted thresholding
* Wavelet-based video coding with early-predicted zerotrees
37 for IET-IPR(1)

IET-IPR(10) * Active contours for image segmentation using complex domain-based approach
* Adaptive fuzzy c-means algorithm based on local noise detecting for image segmentation
* Adaptive low-complexity motion estimation algorithm for high efficiency video coding encoder
* Adaptive scene-text binarisation on images captured by smartphones
* Alternating direction method for TGV-TGV* based cartoon-texture image decomposition
* Amplitude-adaptive spread-spectrum data embedding
* Automatic chessboard corner detection method
* Bio-inspired image enhancement derived from a rank order coding model
* Blind image watermarking method based on linear canonical wavelet transform and QR decomposition
* Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics
* Capillary extraction by detecting polarity in circular profiles
* Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule
* Combination of hybrid median filter and total variation minimisation for medical X-ray image restoration
* Combining firefly algorithm and Bayesian classifier: New direction for automatic multilabel image annotation
* Comments on and corrections to Hardware: software co-design architecture for joint photo expert graphic XR encoder
* Complex number-based image quality assessment using singular value decomposition
* Complexity reduction algorithm for prediction unit decision process in high efficiency video coding
* Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation
* Context aware image enhancement for online fish behaviour monitoring
* Context-based prediction filtering of impulse noise images
* Detecting asymmetry in the presence of symmetry with maximum likelihood three-dimensional reconstructions of viruses from electron microscope images
* Diffusion-steered super-resolution method based on the Papoulis-Gerchberg algorithm
* Digital video steganalysis toward spread spectrum data hiding
* Directional SUSAN image boundary detection of breast thermogram
* Distortion-free secret image sharing method with two meaningful shadows
* Diverse videos synthesis using manifold-based parametric motion model for facial understanding
* Early DIRECT mode decision based on all-zero block and rate distortion cost for multiview video coding
* Efficient image classification via sparse coding spatial pyramid matching representation of SIFT-WCS-LTP feature
* Enhanced mutual information based medical image registration
* Facial expression recognition via sparse representation using positive and reverse templates
* Fast algorithm for least-squares based image prediction
* Fast coding unit selection and motion estimation algorithm based on early detection of zero block quantified transform coefficients for high-efficiency video coding standard
* Fast localised active contour for inhomogeneous image segmentation
* Fast-efficient shape error concealment technique based on block classification
* Fourier transform-based windowed adaptive switching minimum filter for reducing periodic noise from digital images
* Grey-level context-driven histogram equalisation
* High capacity turtle shell-based data hiding
* High quality impulse noise removal via non-uniform sampling and autoregressive modelling based super-resolution
* Higher-order MRFs based image super resolution: why not MAP?
* Image encryption by chaos mixing
* Image enhancement based on intuitionistic fuzzy sets theory
* Image super-resolution based on the pairwise dictionary selected learning and improved bilateral regularisation
* Improved probabilistic pseudo-morphology for noise reduction in colour images
* Infrared dim small target detection with high reliability using saliency map fusion
* Inspecting lens collars for defects using discrete cosine transformation based on an image restoration scheme
* Integration of colour and uniform interlaced derivative patterns for object tracking
* Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images
* Lunar surface crater topology generation using adaptive edge detection algorithm
* Matching cost function using robust soft rank transformations
* Mid-sagittal plane detection in brain magnetic resonance image based on multifractal techniques
* Minimisation of local within-class variance for image segmentation
* Multilabel statistical shape prior for image segmentation
* Noise-insensitive and edge-preserving resolution upconversion scheme for digital image based on the spatial general autoregressive model
* Non-local feature back-projection for image super-resolution
* Object recognition using rotation invariant local binary pattern of significant bit planes
* Objectness to assist salient object detection
* Parsing Fashion Image into Mid-Level Semantic Parts Based on Chain-Conditional Random Fields
* Power-constrained contrast enhancement for organic light-emitting diode display using locality-preserving histogram equalisation
* Pyramid coding based rate control for variable bit rate video streaming
* Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images
* Real-time vehicle detection with foreground-based cascade classifier
* Real-time video chroma keying: a parallel approach based on local texture and global colour distribution
* Reference-omitted affine soft correspondence algorithm
* Resolution enhancement of textual images: a survey of single image-based methods
* Robust facial landmark detection using mixture of discriminative visibility-aware models
* Robust fast corner detector based on filled circle and outer ring mask
* Saliency histogram equalisation and its application to image resizing
* Scheme for unsupervised colour-texture image segmentation using neutrosophic set and non-subsampled contourlet transform
* Segmentation of the right ventricle in MRI images using a dual active shape model
* Semi-automatic detection of coronary artery stenosis in 3D CTA
* Sparse representation based on vector extension of reduced quaternion matrix for multiscale image denoising
* Spatio-temporal mean curvature based image sequence restoration
* Spatiotemporal feature extraction for facial expression recognition
* Speckle reduction method for thyroid ultrasound images in neutrosophic domain
* Stroke width-based directional total variation regularisation for document image super resolution
* Weighted total generalised variation scheme for image restoration
* Zero coefficient-aware fast butterfly-based inverse discrete cosine transform algorithm
77 for IET-IPR(10)

IET-IPR(11) * 3D model watermarking algorithm robust to geometric attacks
* 3D MRI image super-resolution for brain combining rigid and large diffeomorphic registration
* access icon openaccess Hybrid NSS features for no-reference image quality assessment
* Active Canny: Edge detection and recovery with open active contour models
* Adaptive localised region and edge-based active contour model using shape constraint and sub-global information for uterine fibroid segmentation in ultrasound-guided HIFU therapy
* Adaptive Weberfaces for occlusion-robust face representation and recognition
* Analysis and design of coded apertures for defocus deblurring based on imaging system properties and optical features
* Analysis of produce recognition system with taxonomist's knowledge using computer vision and different classifiers
* Automated marker identification using the Radon transform for watershed segmentation
* Automatic facial flaw detection and retouching via discriminative structure tensor
* Bionic RSTN invariant feature extraction method for image recognition and its application
* Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD
* Case Study: Hyperspectral face recognition via feature extraction and CRC-based classifier
* Chaos-based fast colour image encryption scheme with true random number keys from environmental noise
* Colour image dehazing using near-infrared fusion
* Colour image encryption based on logistic mapping and double random-phase encoding
* Combination of adaptive vector median filter and weighted mean filter for removal of high-density impulse noise from colour images
* Complete three-phase detection framework for identifying abnormal cervical cells
* Comprehensive analysis and evaluation to unsupervised binary hashing method in image similarity measurement
* Content-based bitrate model for perceived compression distortion evaluation of mobile video services
* Contrast-aware power control method for mobile active-matrix organic light-emitting diode display
* Convergent heterogeneous particle swarm optimisation algorithm for multilevel image thresholding segmentation
* Convex-relaxed active contour model based on localised kernel mapping
* Copy-move forgery detection based on multi-radius PCET
* Depth extraction for a structured light system based on mismatched image pair rectification using a virtual camera
* Design of hardware RGB to HMMD converter based on reversible logic
* Development of saliency-based seamless image compositing using hybrid blending (SSICHB)
* Diagonal-based fast intra-mode decision algorithm for HEVC
* Digital image watermarking method based on DCT and fractal encoding
* Discrete image data transmission in heterogeneous wireless network using vertical handover mechanism
* Dynamic RGB-to-CMYK conversion using visual contrast optimisation
* Edge patch image-based morphological profiles for classification of multispectral and hyperspectral data
* Effective and adaptive algorithm for pepper-and-salt noise removal
* Effective geometric restoration of distorted historical document for large-scale digitisation
* Efficient Bayesian approach to saliency detection based on Dirichlet process mixture
* Efficient frame-level bit allocation algorithm for H.265/HEVC
* Estimating just-noticeable distortion for images/videos in pixel domain
* Estimation of edge displacement against brightness and camera-to-object distance
* Fast algorithm for hybrid region-based active contours optimisation
* Fast coding algorithm for HEVC based on video contents
* Fast CU partition strategy for HEVC based on Haar wavelet
* Fast motion estimation algorithm using multilevel distortion search in Walsh-Hadamard domain
* Fast pedestrian detection and dynamic tracking for intelligent vehicles within V2V cooperative environment
* Fast pore matching method based on deterministic annealing algorithm
* Fast segmentation of ultrasound images by incorporating spatial information into Rayleigh mixture model
* Fast single image SR via dictionary learning
* Fine feature sensitive marching squares
* Fractional-order tensor regularisation for image inpainting
* Frame duplication/mirroring detection method with binary features
* Generalised fuzzy c-means clustering algorithm with local information
* Generalised rough intuitionistic fuzzy c-means for magnetic resonance brain image segmentation
* Graph-based spatial-spectral feature learning for hyperspectral image classification
* Guest Editorial: Advances in Big Data Methods for Image Processing
* Hardware efficient multiplier-less multi-level 2D DWT architecture without off-chip RAM
* High discriminative SIFT feature and feature pair selection to improve the bag of visual words model
* Histogram of Radon transform and texton matrix for texture analysis and classification
* Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features
* Hybrid local and global descriptor enhanced with colour information
* Hybrid WPT-BDCT transform for high-quality image compression
* Image coding based on classified vector quantisation using edge orientation patterns
* Image colourisation using linear neighbourhood propagation and weighted smoothing
* Image denoising based on sparse representation and gradient histogram
* Image denoising using generalised Cauchy filter
* Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex
* Image fusion based on multi-scale transform and sparse representation: an image energy approach
* Image noise types recognition using convolutional neural network with principal components analysis
* Image segmentation using a hierarchical student's-t mixture model
* Image segmentation using a unified Markov random field model
* Implementation of in-loop filter for HEVC decoder on reconfigurable processor
* Improved automated detection of glaucoma from fundus image using hybrid structural and textural features
* Improved BM3D denoising method
* Improved chamfer matching method for surface mount component positioning
* Improved partial differential equation-based enhancement for underwater images using local-global contrast operators and fuzzy homomorphic processes
* Integrated tone and structure refinement for high-fidelity colour transfer
* IR small target detection based on human visual attention using pulsed discrete cosine transform
* Label fusion method based on sparse patch representation for the brain MRI image segmentation
* Localisation of topological features using 3D object representations
* Lossless image compression algorithm and hardware architecture for bandwidth reduction of external memory
* Low-complexity face recognition using contour-based binary descriptor
* Low-complexity feedback-channel-free distributed video coding using local rank transform
* Low-latency median filter core for hardware implementation of 5X5 median filtering
* Lung field segmentation in chest radiographs: a historical review, current status, and expectations from deep learning
* Mathematical analysis for CSI scheme with the interpolation kernel size increased
* Matrix embedding in steganography with binary Reed-Muller codes
* Maximised self-similarity upsampler
* Maximum a posteriori-based texture estimation by despeckling of SAR clutter amplitude data
* Micro-movement magnification in video signals using complex wavelet analysis
* Modified simultaneous iterative reconstruction technique for fast, high-quality CT reconstruction
* Modified ultrasound despeckling assessment index for the Field II simulated cyst image
* MR image reconstruction using cosupport constraints and group sparsity regularisation
* Multi-dimensional data representation using linear tensor coding
* Multi-focus image fusion algorithm based on multilevel morphological component analysis and support vector machine
* Multimodal image registration based on the expectation-maximisation methodology
* Multiple Laplacian graph regularised low-rank representation with application to image representation
* Muzzle point pattern based techniques for individual cattle identification
* New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features
* New non-negative sparse feature learning approach for content-based image retrieval
* No-reference quality measure in brain MRI images using binary operations, texture and set analysis
* Novel image inpainting algorithm based on adaptive fourth-order partial differential equation
* Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain
* Pansharpening approach using Hilbert vibration decomposition
* Part-based recognition of vehicle make and model
* Pruned non-local means
* Quality index evaluation of videos based on fuzzy interface system
* Quantitative growth analysis of pulp necrotic tooth (post-op) using modified region growing active contour model
* Quantitative metric for MR brain tumour grade classification using sample space density measure of analytic intrinsic mode function representation
* Real-time multi-feature based fire flame detection in video
* Reconstruction of three-dimensional linear structures in the breast from craniocaudal and mediolateral oblique mammographic views
* Regularised differentiation for image derivatives
* Regularity of spectral residual for reduced reference image quality assessment
* Reversible data hiding scheme based on significant-bit-difference expansion
* Review, analysis and parameterisation of techniques for copy-move forgery detection in digital images
* RKEM: Redundant Keypoint Elimination Method in Image Registration
* Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species
* Robust fuzzy local information and -norm distance-based image segmentation method
* Robust hypothesis generation method using binary blob analysis for multi-lane detection
* Robust multi-feature visual tracking via multi-task kernel-based sparse learning
* Scene-aware image dehazing based on sky-segmented dark channel prior
* Segmentation of large images based on super-pixels and community detection in graphs
* Segmentation of the left ventricle in short-axis sequences by combining deformation flow and optical flow
* Semi-guided bilateral filter
* Single image dehazing by latent region-segmentation based transmission estimation and weighted L 1-norm regularisation
* Single image-based HDR image generation with camera response function estimation
* Single-image super resolution using evolutionary sparse coding technique
* Smartphone application for medical images secured exchange based on encryption using the matrix product and the exclusive addition
* Some studies on detection and filtering algorithms for the removal of random valued impulse noise
* Sparse PDE for SAR image speckle suppression
* Splicing image forgery detection using textural features based on the grey level co-occurrence matrices
* Step-by-step pipeline processing approach for line segment detection
* Structural difference histogram representation for texture image classification
* Structured entropy of primitive: Big Data-Based Stereoscopic Image Quality Assessment
* Super-resolution reconstruction: Using non-local structure similarity and edge sharpness dictionary
* Supervised orthogonal discriminant projection based on double adjacency graphs for image classification
* Supervised sparse neighbourhood preserving embedding
* Synthetic aperture radar image segmentation using non-linear diffusion-based hierarchical triplet Markov fields model
* Text segmentation using superpixel clustering
* Texture classification by multifractal spectrum and barycentric coordinates of bit planes of wavelet coefficients
* Texture-based image segmentation using neutrosophic clustering
* Three-dimensional separate descendant-based SPIHT algorithm for fast compression of high-resolution medical image sequences
* Underwater image colour constancy based on DSNMF
* Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18F-FDG-PET images
* Video stabilisation with total warping variation model
* Wavelet denoising of multiframe optical coherence tomography data using similarity measures
* Widening residual skipped network for semantic segmentation
* WN-based approach to melanoma diagnosis from dermoscopy images
145 for IET-IPR(11)

IET-IPR(12) * AC coefficient and K-means cuckoo optimisation algorithm-based segmentation and compression of compound images
* Acceleration of histogram-based contrast enhancement via selective downsampling
* Action recognition using fast HOG3D of integral videos and Smith-Waterman partial matching
* Adaptive active contours based on variable kernel with constant initialisation
* Adaptive decomposition method for multi-modal medical image fusion
* Adaptive image interpolation technique based on cubic trigonometric B-spline representation
* Adaptive image segmentation method based on the fuzzy c-means with spatial information
* Adaptive patched L0 gradient minimisation model applied on image smoothing
* Adaptive probability filter for removing salt and pepper noises
* Adaptive spatio-temporal background subtraction using improved Wronskian change detection scheme in Gaussian mixture model framework
* Anomaly classification in digital mammography based on multiple-instance learning
* Anomaly detection and localisation in the crowd scenes using a block-based social force model
* Anti-Occlusion Particle Filter Object-Tracking Method Based on Feature Fusion
* Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration
* Automated spectral domain approach of quasi-periodic denoising in natural images using notch filtration with exact noise profile
* Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithm
* Automatic centroid extraction method for noisy star image
* Automatic choroid layer segmentation using normalized graph cut
* Automatic detection and segmentation of optic disc and fovea in retinal images
* Automatic object extraction from images using deep neural networks and the level-set method
* Automatic segmentation and reconstruction of historical manuscripts in gradient domain
* Background subtraction using Gaussian-Bernoulli restricted Boltzmann machine
* Backprojection inverse filtration for laminographic reconstruction
* BAT algorithm inspired retinal blood vessel segmentation
* BCH-LSH: a new scheme of locality-sensitive hashing
* Biomedical compound figure detection using deep learning and fusion techniques
* Blind image quality assessment based on Benford's law
* Brain MRI segmentation by combining different MRI modalities using Dempster-Shafer theory
* Calculation of phase fraction in steel microstructure images using random forest classifier
* Case Study: Deep learning features for robust facial kinship verification
* Change detection in Landsat images based on local neighbourhood information
* Circular trace transform and its PCA-based fusion features for image representation
* Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms
* CMFD: a detailed review of block based and key feature based techniques in image copy-move forgery detection
* Collaborative filtering model for enhancing fingerprint image
* Colour balancing using sclera colour
* Colour image encryption algorithm using one-time key and FrFT
* Colour image encryption technique using differential evolution in non-subsampled contourlet transform domain
* Colour image encryption via fractional chaotic state estimation
* Combined imaging matching method of side scan sonar images with prior position knowledge
* Comparison of level set models in image segmentation
* Composite filtering strategy for improving distortion invariance in object recognition
* Comprehensive survey of 3D image steganography techniques
* Comprehensive survey of 3D image steganography techniques
* Contour detection model using linear and non-linear modulation based on non-CRF suppression
* Convolutional neural network for smooth filtering detection
* Correction of micro-CT image geometric artefacts based on marker
* Correlation filter-based visual tracking via adaptive weighted CNN features fusion
* Criteria to evaluate the fidelity of image enhancement by MSRCR
* Cross-channel regularisation for joint demosaicking and intrinsic lens deblurring
* Crowd counting considering network flow constraints in videos
* Cryptographic algorithm based on pixel shuffling and dynamical chaotic economic map
* Cryptographic algorithm based on pixel shuffling and dynamical chaotic economic map
* CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST domain
* CT image denoising using NLM and correlation-based wavelet packet thresholding
* Curvelet analysis of breast masses on dynamic magnetic resonance mammography
* Curvelet-based multiscale denoising using non-local means and guided image filter
* Dark target effectiveness for dark-object subtraction atmospheric correction method on mangrove above-ground carbon stock mapping
* Daubechies wavelet-based local feature descriptor for multimodal medical image registration
* Deep learning-based approach to latent overlapped fingerprints mask segmentation
* Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images
* Denoising hyperspectral images using Hilbert vibration decomposition with cluster validation
* Denoising of ultrasound images affected by combined speckle and Gaussian noise
* Depth extraction method with subpixel matching for light-coding-based depth camera
* Deriving scale normalisation factors for a GLoG detector
* Detection and analysis of large-scale WT blade surface cracks based on UAV-taken images
* Detection of morphology defects in pipeline based on 3D active stereo omnidirectional vision sensor
* Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic
* Dynamical stochastic resonance for non-uniform illumination image enhancement
* Edge preserving suppression for depth estimation via comparative variation
* Edge-preserving image denoising
* Effect of fusing features from multiple DCNN architectures in image classification
* Effective image enhancement techniques for fog-affected indoor and outdoor images
* Efficient 3D mesh salient region detection using local homogeneity measure
* Efficient approach for non-ideal iris segmentation using improved particle swarm optimisation-based multilevel thresholding and geodesic active contours
* Efficient approach for the automatic detection of haemorrhages in colour retinal images
* Efficient bivariate image denoising technique using new orthogonal CWT filter design
* Efficient coarser-to-fine holistic traffic sign detection for occlusion handling
* Efficient design of BinDCT in quantum-dot cellular automata (QCA) technology
* Efficient direction-oriented search algorithm for block motion estimation
* Efficient fingerprint matching using GPU
* Efficient image steganography using graph signal processing
* Efficient interpolated compressed sensing reconstruction scheme for 3D MRI
* Emotion recognition from facial expressions using hybrid feature descriptors
* Enhancement of dim targets in a sea background based on long-wave infrared polarisation features
* Ensemble classifier-based off-line handwritten word recognition system in holistic approach
* Entropy-based variational Bayes learning framework for data clustering
* Extended scale invariant local binary pattern for background subtraction
* Factoring two-dimensional two-channel non-separable stripe filter banks into lifting steps
* Fast adaptive and selective mean filter for the removal of high-density salt and pepper noise
* Fast and Automatically Adjustable GRBF Kernel Based Fuzzy C-Means for Cluster-wise Coloured Feature Extraction and Segmentation of MR Images
* Fast and robust homography estimation method with algebraic outlier rejection
* Fast codebook design method for image vector quantisation
* Fast detection method of quick response code based on run-length coding
* Fast enhancement algorithm of highway tunnel image based on constraint of imaging model
* Fast intra bit rate transcoding for HEVC screen content coding
* Fast matching pursuit for sparse representation-based face recognition
* Fast mode decision method based on edge feature for HEVC inter-prediction
* Fast vanishing point detection method based on road border region estimation
* Fast-efficient algorithm of high-profile intra prediction for H.264 encoding system
* FBSLS model for image segmentation
* FPR using machine learning with multi-feature method
* Fractal triangular search: a metaheuristic for image content search
* Fully automated brain tumour segmentation system in 3D-MRI using symmetry analysis of brain and level sets
* Fuzzy enhanced image fusion using pixel intensity control
* Fuzzy multiclass active learning for hyperspectral image classification
* Generalised non-locally centralised image de-noising using sparse dictionary
* Geometrical flow-guided fast beamlet transform for crack detection
* Global abnormal events detection in crowded scenes using context location and motion-rich spatio-temporal volumes
* GrabCut algorithm for dental X-ray images based on full threshold segmentation
* Gradation of diabetic retinopathy on reconstructed image using compressed sensing
* Guided filter-based images fusion algorithm for CT and MRI medical images
* Gyrator wavelet transform
* Hand gesture recognition using DWT and F-ratio based feature descriptor
* Handwritten Hindi character recognition: a review
* Hash rearrangement scheme for HEVC screen content coding
* Haze removal for unmanned aerial vehicle aerial video based on spatial-temporal coherence optimisation
* Hierarchical CNN-based real-time fatigue detection system by visual-based technologies using MSP model
* Hierarchical palmprint feature extraction and recognition based on multi-wavelets and complex network
* Hot spot method for pedestrian detection using saliency maps, discrete Chebyshev moments and support vector machine
* Hue preserving-based approach for underwater colour image enhancement
* HWFusion: Holoentropy and SP-Whale optimisation-based fusion model for magnetic resonance imaging multimodal image fusion
* Hybrid fitting energy-based fast level set model for image segmentation solving by algebraic multigrid and sparse field method
* Hybrid image denoising method based on non-subsampled contourlet transform and bandelet transform
* Hybrid model of diffusion based on the Jeffreys-type equation for noise reduction on images
* Hyperspectral anomaly detection using differential image
* Hyperspectral image classification based on adaptive-weighted LLE and clustering-based FSVMs
* Hyperspectral image super-resolution under misaligned hybrid camera system
* Illumination-based texture descriptor and fruitfly support vector neural network for image forgery detection in face images
* Image colourisation by non-local total variation method in the CB and YIQ colour spaces
* Image completion using multispectral imaging
* Image decomposition and texture analysis via combined bi-dimensional Bedrosian's principles
* Image Denoising Method Based on a Deep Convolution Neural Network
* Image filtering method using trimmed statistics and edge preserving
* Image region annotation based on segmentation and semantic correlation analysis
* Image seamless stitching and straightening based on the image block
* Image segmentation algorithm based on superpixel clustering
* Image segmentation fusion using weakly supervised trace-norm multi-task learning method
* Image smoothing via a scale-aware filter and L_0 norm
* Image smoothing via truncated L0 gradient regularisation
* Image splicing detection based on Markov features in discrete octonion cosine transform domain
* Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency
* Improved multi-scale line detection method for retinal blood vessel segmentation
* Improved particle swarm optimisation to estimate bone age
* Improved side information generation algorithm based on naive Bayesian theory for distributed video coding
* Improved SSIM IQA of contrast distortion based on the contrast sensitivity characteristics of HVS
* Improved visual/infrared colour fusion method with double-opponency colour constancy mechanism
* Improvement of global motion estimation in two-dimensional digital video stabilisation methods
* Improving the robustness of motion vector temporal descriptor
* Information fusion for unsupervised image segmentation using stochastic watershed and Hessian matrix
* Innovative CFAR detector with effective parameter estimation method for generalised gamma distribution and iterative sliding window strategy
* Investigating local orientation methods to segment microstructure with 3D solid texture
* Iterative weighted sparse representation for X-ray cardiovascular angiogram image denoising over learned dictionary
* JPEG image width estimation for file carving
* K-unknown models detection through clustering in blind source camera identification
* Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm
* Level set evolution with sparsity constraint for object extraction
* License number plate recognition system using entropy-based features selection approach with SVM
* Local multiscale blur estimation based on toggle mapping for sharp region extraction
* Local similarity refinement of shape-preserved warping for parallax-tolerant image stitching
* Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm
* Locality and context-aware top-down saliency
* Locality sensitive hashing based space partitioning approach for indexing multidimensional feature vectors of fingerprint image data
* Lossless and reversible colour space transformation for Bayer colour filter array images
* Low-complexity and efficient image coder/decoder with quad-tree search model for embedded computing platforms
* Matrix completion via capped nuclear norm
* Medical image rigid registration using a novel binary feature descriptor and modified affine transform
* Memory-efficient architecture of circle Hough transform and its FPGA implementation for iris localisation
* Mesh-free approach for enhancement of mammograms
* Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images
* Minimum elastic bounding box algorithm for dimension detection of 3D objects: a case of airline baggage measurement
* Model for smoothing and segmentation of texture images using L0 norm
* Modified mean shift algorithm
* Modified spatial neutrosophic clustering technique for boundary extraction of tumours in B-mode BUS images
* Motion and illumination defiant cut detection based on Weber features
* Multi-directional colour edge detector using LQS convolution
* Multi-frame super-resolution algorithm using common vector approach
* Multi-scale deep neural network for salient object detection
* Multifeature-based medical image segmentation
* Multiframe super-resolution based on a high-order spatially weighted regularisation
* Multilevel magnetic resonance imaging compression using compressive sensing
* Multiple hypothesis tracking algorithm for multi-target multi-camera tracking with disjoint views
* Multiple-parameter fractional quaternion Fourier transform and its application in colour image encryption
* Multiscale adaptive regularisation Savitzky-Golay method for speckle noise reduction in ultrasound images
* Natural image illuminant estimation via deep non-negative matrix factorisation
* Neighbourhood decision based impulse noise filter
* New colour morphological operators on hypergraph
* Non-invasive detection of alcohol concentration based on photoplethysmogram signals
* Non-parametric mixture model with TV spatial regularisation and its dual expectation maximisation algorithm
* Non-rigid point set registration by high-dimensional representation
* Non-subsampled shearlet transform based MRI and PET brain image fusion using simplified pulse coupled neural network and weight local features in YIQ colour space
* Normal curvature-induced variational model for image restoration
* Numerical accuracy of integral images computation algorithms
* Occlusion-robust object tracking based on the confidence of online selected hierarchical features
* Optimisation of HEVC motion estimation exploiting SAD and SSD GPU-based implementation
* Orthogonal gradient measurement matrix optimisation method
* Pansharpening scheme using filtering in two-dimensional discrete fractional Fourier transform
* Patch strategy for deep face recognition
* Perceptual hash algorithm-based adaptive GOP selection algorithm for distributed compressive video sensing
* Perceptual stereoscopic image quality assessment method with tensor decomposition and manifold learning
* Perceptual video quality metric for compression artefacts: from two-dimensional to omnidirectional
* Plane detection in 3D point cloud using octree-balanced density down-sampling and iterative adaptive plane extraction
* Plateau limit-based tri-histogram equalisation for image enhancement
* PLT-based spectral features for texture image retrieval
* Point-based spatial colour sampling in Milano-Retinex: a survey
* Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging
* Probabilistic binary similarity distance for quick binary image matching
* Proposed adaptive joint error-resilience concealment algorithms for efficient colour-plus-depth 3D video transmission
* Randomised visual secret sharing scheme for grey-scale and colour images
* Rapid contour detection for image classification
* Recognition of complex static hand gestures by using the wristband-based contour features
* Region growing for image segmentation using an extended PCNN model
* Regularisation learning of correlation filters for robust visual tracking
* Restoring highly corrupted images by impulse noise using radial basis functions interpolation
* Retinal blood vessel segmentation using the elite-guided multi-objective artificial bee colony algorithm
* Retinal vessel segmentation using neural network
* Retracted: Robust Retinal Vessel Segmentation using Vessel's Location Map and Frangi Enhancement Filter
* Retracted: Robust Retinal Vessel Segmentation using Vessel's Location Map and Frangi Enhancement Filter
* Revealing the traces of histogram equalisation in digital images
* Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets
* Robust face recognition via non-linear correlation filter bank
* Robust fuzzy c-means clustering algorithm using non-parametric Bayesian estimation in wavelet transform domain for noisy MR brain image segmentation
* Robust image fusion with block sparse representation and online dictionary learning
* Robust image hashing using exact Gaussian-Hermite moments
* Robust retinal blood vessel segmentation using line detectors with multiple masks
* Rules of photography for image memorability analysis
* Saliency enabled compression in JPEG framework
* Saliency-based dark channel prior model for single image haze removal
* Salient region detection using feature extraction in the non-subsampled contourlet domain
* SAR image segmentation algorithm based on Contourlet domain AFMRF model
* Scene flow for 3D laser scanner and camera system
* Scene invariant crowd counting using multi-scales head detection in video surveillance
* Secure chaotic dual encryption scheme for H.264/AVC video conferencing protection
* Segmentation of the lumen and media-adventitial borders in intravascular ultrasound images using a geometric deformable model
* Semantic image segmentation using an improved hierarchical graphical model
* Semi-automatic leaf disease detection and classification system for soybean culture
* Single image dehazing using local linear fusion
* Single-pixel compressive imaging based on motion compensation
* Small target detection based on reweighted infrared patch-image model
* Some variants of spiral LBP in texture recognition
* Sparse patch-based representation with combined information of atlas for multi-atlas label fusion
* Sparse representation-based face recognition against expression and illumination
* Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing
* Spatially adaptive total variation deblurring with split Bregman technique
* Speckle suppression in medical ultrasound images through Schur decomposition
* Statistical characterisation of block variance and AC DCT coefficients for power law enhanced images
* Statistical geometric components of straight lines (SGCSL) feature extraction method for offline Arabic/Persian handwritten words recognition
* Statistical search range adaptation solution for effective frame rate up-conversion
* Structure-based interpolation method for restoring the intensity of low-density impulse noise
* Study on the method of colour image noise reduction based on optimal channel-processing
* Subjectively correlated estimation of noise due to blurriness distortion based on auto-regressive model using the Yule-Walker equations
* Survey on various lane and driver detection techniques based on image processing for hilly terrain
* Text line segmentation using a fully convolutional network in handwritten document images
* Thorough approach toward cylindrical MMW image reconstruction using sparse antenna array
* Three-dimensional image registration using distributed parallel computing
* Tool for automatic tuning of binarisation techniques
* Towards an accurate and fast computation of discrete Tchebychev moments for binary and grey-level images
* Transform-based watermarking algorithm maintaining perceptual transparency
* Two improved extension of local binary pattern descriptors using wavelet transform for texture classification
* Two reversible data hiding schemes for VQ-compressed images based on index coding
* Two-step evidential fusion approach for accurate breast region segmentation in mammograms
* Unrestricted LR detection for biomedical applications using coarse-to-fine hierarchical approach
* Using a generalised method of moment approach and 2D-generalised autoregressive conditional heteroscedasticity modelling for denoising ultrasound images
* Using feature points and angles between them to recognise facial expression by a neural network approach
* Video denoising algorithm based on improved dual-domain filtering and 3D block matching
* View synthesis method for 3D video coding based on temporal and inter view correlation
* Visibility distance estimation in foggy situations and single image dehazing based on transmission computation model
* Visual tracking via ensemble autoencoder
* Watermarking image encryption using deterministic phase mask and singular value decomposition in fractional Mellin transform domain
* Wire segmentation for printed circuit board using deep convolutional neural network and graph cut model
270 for IET-IPR(12)

IET-IPR(13) * 3D Features for human action recognition with semi-supervised learning
* 3D palmprint recognition using unsupervised convolutional deep learning network and SVM classifier
* Abnormal region detection in cervical smear images based on fully convolutional network
* Accelerated seam carving for image retargeting
* Accommodative extractor for QIM-based watermarking schemes
* ACFT: adversarial correlation filter for robust tracking
* ACT: an ACTNet for visual tracking
* Adaptive appearance separation for interactive image segmentation based on Dense CRF
* Adaptive multilayer level set method for segmenting images with intensity inhomogeneity
* Advances in human action recognition: an updated survey
* Adversarial auto-encoder for unsupervised deep domain adaptation
* Adversarial image generation by combining content and style
* Aesthetic assessment of paintings based on visual balance
* Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition
* Age-related craniofacial differences based on spatio-temporal face image atlases
* Aircraft tracking based on fully conventional network and Kalman filter
* Alpha cut for interactive image segmentation of thin and elongated objects
* Appearance model update based on online learning and soft-biometrics traits for people re-identification in multi-camera environments
* Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention
* ApprGAN: Appearance-Based GAN for Facial Expression Synthesis
* Area-efficient parallel adder with faithful approximation for image and signal processing applications
* As-global-as-possible stereo matching with adaptive smoothness prior
* ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery
* Authentication of medical images using passive approach
* Automated acute lymphoblastic leukaemia detection system using microscopic images
* Automated detection of microaneurysms using Stockwell transform and statistical features
* Automated glaucoma detection using quasi-bivariate variational mode decomposition from fundus images
* Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images
* Automated retinal layer segmentation in OCT images of age-related macular degeneration
* Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the training sets
* Automatic classification of skin burn colour images using texture-based feature extraction
* Automatic geometry calibration for multi-projector display systems with arbitrary continuous curved surfaces
* Automatic segmentation of MR depicted carotid arterial boundary based on local priors and constrained global optimisation
* Band selection of hyperspectral image by sparse manifold clustering
* Bibliography of digital image anti-forensics and anti-anti-forensics techniques
* Bilinear normal mixing model for spectral unmixing
* Bio-inspired contour detection model based on multi-bandwidth fusion and logarithmic texture inhibition
* Biometric-based efficient medical image watermarking in E-healthcare application
* Blind text images deblurring based on a generative adversarial network
* Calibration of a panoramic 3D reconstruction system
* Capturing the spatio-temporal continuity for video semantic segmentation
* Change detection in SAR images using deep belief network: a new training approach based on morphological images
* Chaotic image encryption algorithm using frequency-domain DNA encoding
* Characterising and predicting the movement of clouds using fractional-order optical flow
* Chest X-ray image denoising method based on deep convolution neural network
* Classification of textured images based on new information fusion methods
* Combination of modified U-Net and domain adaptation for road detection
* Combined FATEMD-based band selection method for hyperspectral images
* Combined training strategy for low-resolution face recognition with limited application-specific data
* Combining colour and grey-level co-occurrence matrix features: A comparative study
* Combining multi-wavelet and CNN for palmprint recognition against noise and misalignment
* Comparative framework for vision-based gesturing modes and implementation of robust colour-marker detector for practical environments
* Comparison of altered mineral information extracted from ETM+, ASTER and Hyperion data in Águas Claras iron ore, Brazil
* Compressive domain spatial-temporal difference saliency-based realtime adaptive measurement method for video recovery
* Compressive spectral feature sensing
* Computational colour constancy based on convolutional neural networks with a cross-level architecture
* Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images
* Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images
* Conditional progressive network for clothing parsing
* Content-based retinal image retrieval
* Controversial pixel prior rule for JPEG adaptive steganography
* Convolutional Neural Network in Network (CNNiN): Hyperspectral Image Classification and Dimensionality Reduction
* Copy-for-duplication forgery detection in colour images using QPCETMs and sub-image approach
* CT and MRI image fusion based on multiscale decomposition method and hybrid approach
* Data embedding in high efficiency video coding (HEVC) videos by modifying the partitioning of coding units
* DCF with high-speed spatial constraint
* DDLA: dual deep learning architecture for classification of plant species
* Deep CNN for removal of salt and pepper noise
* Deep learning approach for segmentation of plain carbon steel microstructure images
* Deep neural network with FGL for small dataset classification
* Deep pixel-to-pixel network for underwater image enhancement and restoration
* Deep residual refining based pseudo-multi-frame network for effective single image super-resolution
* Deep supervised hashing network with integrated regularisation
* Deep-network based method for joint image deblocking and super-resolution
* Defect inspection research on fabric based on template correction and primitive decomposition
* Demosaicking algorithm for white-RGB CFA images
* Denoising convolutional neural network with mask for salt and pepper noise
* Dense small face detection based on regional cascade multi-scale method
* Design and implementation of a novel low complexity symmetric orthogonal wavelet filter-bank
* Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering
* Detail-enhanced target segmentation method for thermal video sequences based on spatiotemporal parameter update technique
* Detected Text-Based Image Retrieval Approach for Textual Images
* Detection and tracking of bubbles in two-phase air water flow for non-convergent sinusoidal channel
* Detection of power line insulators on digital images with the use of laser spots
* Determination of tool deflection in drilling by image processing
* Development of a global batch clustering with gradient descent and initial parameters in colour image classification
* Diagnosis of melanoma from dermoscopic images using a deep depthwise separable residual convolutional network
* Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images
* Directional relative total variation for structure-texture decomposition
* Directional tensor product complex tight framelets for compressed sensing MRI reconstruction
* Discarding jagged artefacts in image upscaling with total variation regularisation
* Dynamic texture classification using Gumbel mixtures in the complex wavelet domain
* Edge detection of retinal OCT image based on complex shearlet transform
* Efficient and robust segmentation and correction model for medical images
* Efficient clustering approach for adaptive unsupervised colour image segmentation
* Efficient edge-preserved sonar image enhancement method based on CVT for object recognition
* Efficient level-set segmentation model driven by the local GMM and split Bregman method
* Efficient medical image enhancement based on CNN-FBB model
* Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images
* Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations
* Enhanced embedded zerotree wavelet algorithm for lossy image coding
* Enhanced pooling method for convolutional neural networks based on optimal search theory
* Enhancement of variably illuminated document images through noise-induced stochastic resonance
* Enhancing scene perception using a multispectral fusion of visible-near-infrared image pair
* Exact Legendre-Fourier moments in improved polar pixels configuration for image analysis
* Face recognition algorithm based on feature descriptor and weighted linear sparse representation
* Facial expression recognition techniques: a comprehensive survey
* Fast active learning for hyperspectral image classification using extreme learning machine
* Fast algorithm for HEVC intra-coding implemented by preprocessing
* Fast and accurate compressed sensing model in magnetic resonance imaging with median filter and split Bregman method
* Fast and efficient contrast-enhanced super-resolution without real-world data using concatenated recursive compressor-decompressor network
* Fast and robust ellipse detector based on edge following method
* Fast generative adversarial networks model for masked image restoration
* Fast HSI super resolution using linear regression
* Fast proximal splitting algorithm for constrained TGV-regularised image restoration and reconstruction
* FD-based detector for medical image watermarking
* Feature fusion method using BoVW framework for enhancing image retrieval
* Field programmable gate array implementation of variable-bins high efficiency video coding CABAC decoder with path delay optimisation
* Fleckmentation: rapid segmentation using repeated 2-means
* FQI: feature-based reduced-reference image quality assessment method for screen content images
* Fractional crow search-based support vector neural network for patient classification and severity analysis of tuberculosis
* Fractional-integral-operator-based improved SVM for filtering salt-and-pepper noise
* Fundus image quality assessment: survey, challenges, and future scope
* Fusing texture, edge and line features for smoke recognition
* Fusion of multi-modal lumbar spine images using Kekre's hybrid wavelet transform
* Fusion of transformed shallow features for facial expression recognition
* Fuzzy farthest point first method for MRI brain image clustering
* Gabor phase response based scheme for accurate pectoral muscle boundary detection
* Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks
* Generative adversarial networks model for visible watermark removal
* Geometric positions and optical flow based emotion detection using MLP and reduced dimensions
* Glaucoma screening pipeline based on clinical measurements and hidden features
* Global median filtering forensic method based on Pearson parameter statistics
* Graph clustering and variational image segmentation for automated firearm detection in X-ray images
* High confidence detection for moving target in aerial video
* High-density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation
* High-quality X-ray computed tomography reconstruction using projected and interpolated images
* High-resolution DEM building with SAR interferometry and high-resolution optical image
* Homography-based traffic sign localisation and pose estimation from image sequence
* HPILN: a feature learning framework for cross-modality person re-identification
* Human activity recognition using 2D skeleton data and supervised machine learning
* Hybrid CBIR method using statistical, DWT-Entropy and POPMV-based feature sets
* Hyperspectral band selection using crossover-based gravitational search algorithm
* Hyperspectral image clustering via sparse dictionary-based anchored regression
* Hyperspectral imaging classification based on convolutional neural networks by adaptive sizes of windows and filters
* Image colourisation using deep feature-guided image retrieval
* Image compression system with an optimisation of compression ratio
* Image contrast enhancement using triple clipped dynamic histogram equalisation based on standard deviation
* Image deformation based on contour using moving integral least squares
* Image denoising by low-rank approximation with estimation of noise energy distribution in SVD domain
* Image denoising using patch ordering and 3D transformation of patches
* Image encryption algorithm based on image hashing, improved chaotic mapping and DNA coding
* Image encryption based on Fisher-Yates shuffling and three dimensional chaotic economic map
* Image reconstruction for emission tomography using intensity normalised patch-based regularisation
* Image recovery and recognition: A combining method of matrix norm regularisation
* Image resizing using fuzzy inferences
* Image restoration via DOST and total variation regularisation
* Image segmentation algorithm based on superpixel clustering
* Image segmentation framework based on optimal multi-method fusion
* Image super-resolution using conditional generative adversarial network
* Improved hierarchical quantisation parameter setting method for screen content coding in high efficiency video coding
* Improved image segmentation algorithms for detecting types of acute lymphatic leukaemia
* Improved neural network classification of hyperspectral imagery using weighted genetic algorithm and hierarchical segmentation
* Incorporating iris, fingerprint and face biometric for fraud prevention in e-passports using fuzzy vault
* Influence of shape and texture features on facial expression recognition
* Intelligent system with dragonfly optimisation for caries detection
* Inter-frame forgery detection based on differential energy of residue
* Interest Point Detection Method Based on Multi-Scale Gabor Filters
* Iterative grouping median filter for removal of fixed value impulse noise
* Knockoff filter-based feature selection for discrimination of non-small cell lung cancer in CT image
* Late fusion of deep learning and handcrafted visual features for biomedical image modality classification
* Learning mean progressive scattering using binomial truncated loss for image dehazing
* Learning one-to-many stylised Chinese character transformation and generation by generative adversarial networks
* Levellings based on spatially adaptive scale spaces using local image features
* Lightweight cascade framework for optic disc segmentation
* Linearly uncorrelated principal component and deep convolutional image deblurring for natural images
* Local difference-based active contour model for medical image segmentation and bias correction
* Locating multiple license plates using scale, rotation, and colour-independent clustering and filtering techniques
* Long-term adaptive tracking via complementary trackers
* Low light image enhancement based on non-uniform illumination prior model
* Low-light image enhancement with strong light weakening and bright halo suppressing
* LSTM-based dynamic probability continuous hand gesture trajectory recognition
* Lung segmentation based on random forest and multi-scale edge detection
* Lung tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography
* L_2,1-norm-based sparse principle component analysis with trace norm regularised term
* Machine learning-based H.264/AVC to HEVC transcoding via motion information reuse and coding mode similarity analysis
* Machine-learning regression in evolutionary algorithms and image registration
* Memorability-based image compression
* MFO-based thresholded and weighted histogram scheme for brightness preserving image enhancement
* Mixture separability loss in a deep convolutional network for image classification
* Mobile terminal gesture recognition based on improved FAST corner detection
* Mobile terminal trajectory recognition based on improved LSTM model
* Modified clipping based image enhancement scheme using difference of histogram bins
* Modified grey world method to detect and restore colour cast images
* Modified tropical algebra based median filter for removing salt and pepper noise in digital image
* Morphological PDEs on graphs for saliency detection
* Morphology-based structure-preserving projection for spectral-spatial feature extraction and classification of hyperspectral data
* Multi-exposure image fusion technique using multi-resolution blending
* Multi-Frame motion deblurring of video using the natural oscillatory motion of dexterous legged robots
* Multi-label automatic image annotation approach based on multiple improvement strategies
* Multi-mother wavelet neural network-based on genetic algorithm and multiresolution analysis for fast 3D mesh deformation
* Multi-objective differential evolution-based ensemble method for brain tumour diagnosis
* Multi-objective genetic algorithm on hexagonal search for fast motion estimation
* Multi-perspective gait recognition based on classifier fusion
* Multi-scale analysis of ulcer disease detection from WCE images
* Multi-scale Cross-path Concatenation Residual Network for Poisson denoising
* Multi-scale microstructure binary pattern extraction and learning for image representation
* Multi-sensor medical image fusion using pyramid-based DWT: a multi-resolution approach
* Multimodal framework based on audio-visual features for summarisation of cricket videos
* New approach to vehicle license plate location based on new model YOLO-L and plate pre-identification
* New image-guided method for localisation of an active capsule endoscope in the stomach
* New method for simultaneous moderate bias correction and image segmentation
* New over-relaxed monotone fast iterative shrinkage-thresholding algorithm for linear inverse problems
* New strategy for CBIR by combining low-level visual features with a colour descriptor
* Nighttime image enhancement using a new illumination boost algorithm
* NIR-red algorithms-based model for chlorophyll-a retrieval in highly turbid Inland Densu River Basin in South-East Ghana, West Africa
* No-reference image quality metric based on multiple deep belief networks
* Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps
* Non-local weighted fuzzy energy-based active contour model with level set evolution starting with a constant function
* Novel image encryption algorithm based on improved logistic map
* Novel invariant feature descriptor and a pipeline for range image registration in robotic welding applications
* Novel multispectral face descriptor using orthogonal walsh codes
* Objective estimation of subjective image quality assessment using multi-parameter prediction
* Online burr video denoising by learning sparsifying transform
* Optic disc segmentation in fundus images using adversarial training
* Optimisation of transmission map for improved image defogging
* Optimised halftoning and inverse halftoning of dermoscopic images for supporting teledermoscopy system
* Orthogonal sparse fractal coding algorithm based on image texture feature
* OrthoMaps: an efficient convolutional neural network with orthogonal feature maps for tiny image classification
* Pansharpening with transform-based gradient transferring model
* Pedestrian detection framework based on magnetic regional regression
* PixTextGAN: structure aware text image synthesis for license plate recognition
* Pose detection in complex classroom environment based on improved Faster R-CNN
* Prediction error expansion-based reversible data hiding in encrypted images with public key cryptosystem
* Progressive graph-based subspace transductive learning for semi-supervised classification
* Quality assessment tool for performance measurement of image contrast enhancement methods
* Quick response barcode deblurring via L_0 regularisation based sparse optimisation
* Real-time recovery and recognition of motion blurry QR code image based on fractional order deblurring method
* Realtime dehazing using colour uniformity principle
* Reduced quaternion matrix-based sparse representation and its application to colour image processing
* Region-Division-Based Joint Sparse Representation Classification for Hyperspectral Images
* Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition
* Reliability verification-based convolutional neural networks for object tracking
* Retinal vessel segmentation approach based on corrected morphological transformation and fractal dimension
* Reversibility-oriented secret image sharing mechanism with steganography and authentication based on code division multiplexing
* Reversible data hiding using B-tree triangular decomposition based prediction
* Review of the application of machine learning to the automatic semantic annotation of images
* Review of underwater image restoration algorithms
* RHEVC intra-prediction mode
* Robust and real-time lane detection filter based on adaptive neuro-fuzzy inference system
* Robust correlation filter tracking with deep semantic supervision
* Robust face anti-spoofing using CNN with LBP and WLD
* Robust fingerprint classification with Bayesian convolutional networks
* Robust lane-detection algorithm based on improved symmetrical local threshold for feature extraction and inverse perspective mapping
* Robust long-term correlation tracking with multiple models
* Robust multi-view videos face recognition based on particle filter with immune genetic algorithm
* Robust part-based visual tracking via adaptive collaborative modelling
* Robust retinal blood vessel segmentation using hybrid active contour model
* Robust watermarking scheme for tamper detection and authentication exploiting CA
* Robust, blind multichannel image identification and restoration using stack decoder
* Rock-ring detection accuracy improvement in infrared satellite image with sub-pixel edge detection
* Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation
* Salient object detection via reciprocal function filter
* Salient object detection with adversarial training
* SAR Image Change Detection Based on Deep Denoising and CNN
* SDCA: a novel stack deep convolutional autoencoder- an application on retinal image denoising
* Selecting optimal bands for sub-pixel target detection in hyperspectral images based on implanting synthetic targets
* Semantic convex matrix factorisation for cross-media retrieval
* Semantic segmentation of remote sensing ship image via a convolutional neural networks model
* Shape geodesics for robust sign language recognition
* Shock filter-based morphological scheme for texture enhancement
* Single image fast deblurring algorithm based on hyper-Laplacian model
* Single Image Rain Removal Model Using Pure Rain Dictionary Learning
* Single sample description based on Gabor fusion
* Single-image super-resolution using online kernel adaptive filters
* Slope-compensated interferogram filter with ESPRIT for adaptive frequency estimation
* Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features
* Sparsity measure based library aided unmixing of hyperspectral image
* Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning
* Spatial-spectral classification of hyperspectral images: A deep learning framework with Markov Random fields based modelling
* Spatially varying blur estimation from a single image
* Spectral clustering and spatial Frobenius norm-based Jaya optimisation for BS of hyperspectral images
* Speedy and accurate image super-resolution via deeply recursive CNN with skip connection and network in network
* State-of-art analysis of image denoising methods using convolutional neural networks
* Statistical multidirectional line dark channel for single-image dehazing
* STCMH with minimal semantic loss
* Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects
* Structural pattern-based approach for Betacam dropout detection in degraded archived media
* Structured group local sparse tracker
* Study of performance of a second-generation wavelet video encoder with a scalable rate
* Successive minutia-free mosaicking for small-sized fingerprint recognition
* SUGAMAN: describing floor plans for visually impaired by annotation learning and proximity-based grammar
* Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes
* Supervised image segmentation based on superpixel and improved normalised cuts
* Survey on depth perception in head mounted displays: distance estimation in virtual reality, augmented reality, and mixed reality
* Survey on GAN-based face hallucination with its model development
* Survey on hardware implementations of visual object trackers
* Survey on the approaches based geometric information for 3D face landmarks detection
* SVD-based image compression, encryption, and identity authentication algorithm on cloud
* Target detection of hyperspectral image based on spectral saliency
* Target tracking based on the cognitive associative network
* TDCC: top-down semantic aggregation for colour constancy
* Texture spectral similarity criteria
* Thinning of convolutional neural network with mixed pruning
* Three-dimensional fusion of clustered and classified features for enhancement of liver and lesions from abdominal radiology images
* Through-the-wall radar imaging algorithm for moving target under wall parameter uncertainties
* Tongue colour and coating prediction in traditional Chinese medicine based on visible hyperspectral imaging
* Transfer metric learning for unsupervised domain adaptation
* Trilateral Convolutional Neural Network for 3D Shape Reconstruction of Objects from a Single Depth View
* Turning video into traffic data- an application to urban intersection analysis using transfer learning
* Two-dimensional shape-adaptive windowing functions for image analysis
* Two-order graph convolutional networks for semi-supervised classification
* Ultrasound image segmentation with multilevel threshold based on differential search algorithm
* Unified multi-scale method for fast leaf classification and retrieval using geometric information
* Use of hyperspectral imaging for cake moisture and hardness prediction
* Video retargeting based on SH equalisation and seam carving
* Video retargeting through spatio-temporal seam carving using Kalman filter
* View's dependency and low-rank background-guided compressed sensing for multi-view image joint reconstruction
* Visual saliency object detection using sparse learning
* Visual tracking with tree-structured appearance model for online learning
* Weighted Kernel joint sparse representation for hyperspectral image classification
* Weighted similarity and distance metric learning for unconstrained face verification with 3D frontalisation
* Welding defect detection based on local image enhancement
323 for IET-IPR(13)

IET-IPR(14) * *Guest Editorial: AI-Powered 3D Vision
* *Guest Editorial: Multidisciplinary advancement of imaging technologies: from medical diagnostics and genomics to cognitive machine vision, and artificial intelligence
* *Seed picking crossover optimisation algorithm for semantic segmentation from images
* *Special Issue Retraction: Guest Editorial: Evolutionary Computation for Image Processing
* 1D representation of Laplacian eigenmaps and dual k-nearest neighbours for unified video coding
* 360° video compression based on sphere-rotated frame prediction
* 3D reconstruction of spine image from 2D MRI slices along one axis
* Absolute phase unwrapping with SVM for fringe-projection profilometry
* Accelerating convolutional neural network training using ProMoD backpropagation algorithm
* Acceleration of multi-task cascaded convolutional networks
* Accurate leukocoria predictor based on deep VGG-net CNN technique
* Active contour image segmentation model with de-hazing constraints
* Active contours driven by modified LoG energy term and optimised penalty term for image segmentation
* Adaptive bag-of-visual word modelling using stacked-autoencoder and particle swarm optimisation for the unsupervised categorisation of images
* Adaptive colour-guided non-local means algorithm for compound noise reduction of depth maps
* Adaptive frequency median filter for the salt and pepper denoising problem
* Adaptive Gaussian notch filter for removing periodic noise from digital images
* Adaptive iterative global image denoising method based on SVD
* Adaptive road detection method combining lane line and obstacle boundary
* Adaptive switching interpolation filter for restoring impulse corrupted digital images
* Adaptive trainable non-linear reaction diffusion for Rician noise removal
* Advanced framework for highly secure and cloud-based storage of colour images
* Advanced lung cancer classification approach adopting modified graph clustering and whale optimisation-based feature selection technique accompanied by a hybrid ensemble classifier
* Analysis of the correlation between infrared thermal sequence images of nostril area and respiratory rate
* Application of optimal FrFT order for improving the azimuth resolution of range Doppler imaging algorithm
* Application of random elements in ISS
* Approach for shadow detection and removal using machine learning techniques
* Approach to model human appearance based on sparse representation for human tracking in surveillance
* Assessment of Sentinel-2A multispectral image for benthic habitat composition mapping
* Automated detection of multiple structural changes of diabetic macular oedema in SDOCT retinal images through transfer learning in CNNs
* Automated fish cage net inspection using image processing techniques
* Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI)
* Automatic 3D point cloud registration algorithm based on triangle similarity ratio consistency
* Automatic aircraft extraction using video matting and frame registration
* Automatic cloud segmentation from INSAT-3D satellite image via IKM and IFCM clustering
* Automatic detection of acute lymphoblastic leukaemia based on extending the multifractal features
* Automatic detection of acute lymphoblastic leukaemia based on extending the multifractal features
* Automatic detection of multiple sclerosis lesions using Mask R-CNN on magnetic resonance scans
* Automatic food recognition system for middle-eastern cuisines
* Automatic grading of brain tumours using LSTM neural networks on magnetic resonance spectroscopy signals
* Automatic labelling of brain tissues in MR images through spatial indexes based hybrid atlas forest
* Automatic layered RGB-D scene flow estimation with optical flow field constraint
* Automatic optical-to-SAR image registration using a structural descriptor
* Automatic production of synthetic labelled OCT images using an active shape model
* Automatic recognition and location system for electric vehicle charging port in complex environment
* Automatic rectification of warped Bangla document images
* Automatic segmentation and classification of lung tumour using advance sequential minimal optimisation techniques
* Automatic segmentation for pulmonary nodules in CT images based on multifractal analysis
* Automatic thresholding using a modified valley emphasis
* Automatic tracing and extraction of text-line and word segments directly in JPEG compressed document images
* Background subtraction in dynamic scenes using the dynamic principal component analysis
* Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection
* Backlit images enhancement using global tone mappings and image fusion
* Balanced principal component for 3D shape recognition using convolutional neural networks
* Bayesian multilevel random-effects model for estimating noise in image sensors
* Bi-dictionary learning model for medical image reconstruction from undersampled data
* bi-directional fractional-order derivative mask for image processing applications, A
* Binary tomography on the isometric tessellation involving pixel shape orientation
* Blind atmospheric turbulence deconvolution
* Blind deblurring and denoising via a learning deep CNN denoiser prior and an adaptive L 0-regularised gradient prior for passive millimetre-wave images
* Blind multipurpose watermarking with insertion of a single watermark: A generic construction based on verifiable threshold secret sharing
* Blind quality assessment for 3D synthesised video with binocular asymmetric distortion
* Blind video quality assessment via spatiotemporal statistical analysis of adaptive cube size 3D-DCT coefficients
* Block cosparsity overcomplete learning transform image segmentation algorithm based on burr model
* Blood flow imaging of high frame rate two-dimensional vector in cardiovascular ultrasound detection
* Blur parameter locus curve and its applications
* BM3D-GT&AD: an improved BM3D denoising algorithm based on Gaussian threshold and angular distance
* Boundary detection using unbiased sparseness-constrained colour-opponent response and superpixel contrast
* Bow image retrieval method based on SSD target detection
* CAD: concatenated action descriptor for one and two person(s), using silhouette and silhouette's skeleton
* CapsNet topology to classify tumours from brain images and comparative evaluation
* Category-wise feature extractor based on ADL method for weak-supervised object localisation
* Cervical cancer detection in cervical smear images using deep pyramid inference with refinement and spatial-aware booster
* CGGAN: a context-guided generative adversarial network for single image dehazing
* Chua's diode and strange attractor: a three-layer hardware-software co-design for medical image confidentiality
* Class-aware single image to 3D object translational autoencoder
* Classification of dry age-related macular degeneration and diabetic macular oedema from optical coherence tomography images using dictionary learning
* Classification of magnetic resonance images for brain tumour detection
* Classifying functional nuclear images with convolutional neural networks: A survey
* CMCS-net: Image Compressed Sensing with Convolutional Measurement via DCNN
* CNN based localisation of forged region in object-based forgery for HD videos
* Coarse-to-fine 3D road model registration for traffic video augmentation
* Collaborative model tracking with robust occlusion handling
* Collaborative similarity metric learning for face recognition in the wild
* Colon cancer prediction using 2DReCA segmentation and hybrid features on histopathology images
* Colour image encryption scheme based on enhanced quadratic chaotic map
* Colour image enhancement with brightness preservation and edge sharpening using a heat conduction matrix
* Combination of multi-scale and residual learning in deep CNN for image denoising
* Combining highlight removal and low-light image enhancement technique for HDR-like image generation
* Common-specific feature learning for multi-source domain adaptation
* Comparative analysis of reversible data hiding schemes
* Comparative analysis of texture feature extraction techniques for rice grain classification
* Composite attacks-based copy-move image forgery detection using AKAZE and FAST with automatic contrast thresholding
* Comprehensive evaluation of image enhancement for unsupervised image description and matching
* Compressive sensed video recovery via iterative thresholding with random transforms
* Compressive sensing MR imaging based on adaptive tight frame and reference image
* Computational approach to body mass index estimation from dressed people in 3D space
* Computational complexity of fractal image compression algorithm
* Conditional semi-fuzzy c-means clustering for imbalanced dataset
* Construction of high dynamic range image based on gradient information transformation
* Context-based ensemble classification for the detection of architectural distortion in a digitised mammogram
* Cooperation: A new force for boosting generative adversarial nets with dual-network structure
* Corner detection using the point-to-centroid distance technique
* Correction of complex purple fringing by green-channel compensation and local luminance adaptation
* Correlation scan matching algorithm based on multi-resolution auxiliary historical point cloud and lidar simultaneous localisation and mapping positioning application
* CPGAN: Conditional patch-based generative adversarial network for retinal vessel segmentation
* Deep convolution network for dense crowd counting
* Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images
* Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance
* Deep facial emotion recognition in video using eigenframes
* Deep feature learning for gender classification with covered/camouflaged faces
* Deep learning algorithm for breast masses classification in mammograms
* Deep learning-based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning
* Deep visual unsupervised domain adaptation for classification tasks: A survey
* Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation
* DeepInterpolation: fusion of multiple interpolations and CNN to obtain super-resolution
* DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images
* Defect detection of printed circuit board based on lightweight deep convolution network
* Denoising framework based on external prior guided rotational clustering
* Denoising real bursts with squeeze-and-excitation residual network
* Dense optical flow based background subtraction technique for object segmentation in moving camera environment
* DenseUNet: densely connected UNet for electron microscopy image segmentation
* Depth data and fusion of feature descriptors for static gesture recognition
* Depth estimation for underwater images from single view image
* Depth map artefacts reduction: a review
* Design and implementation of image kernels using reversible logic gates
* Design of fuzzy inference system for apple ripeness estimation using gradient method
* Design of optimal blind watermarking technique based on MOEA/D
* Design of vision-based indoor positioning based on embedded system
* Detecting abnormal events in traffic video surveillance using superorientation optical flow feature
* Detection and localisation of multiple brain tumours by object counting and elimination
* Detection, quantification and classification of ripened tomatoes: a comparative analysis of image processing and machine learning
* Development of an intelligent CAD system for mass detection in mammographic images
* Diagnosis of brain tumours by MRI binarisation with variable fuzzy level
* Distributed ImageJ(Fiji): a framework for parallel image processing
* DRAN: Deep recurrent adversarial network for automated pancreas segmentation
* DRGAN: a deep residual generative adversarial network for PET image reconstruction
* DRU-net: a novel U-net for biomedical image segmentation
* Dual attention convolutional network for action recognition
* Dynamic gesture recognition based on feature fusion network and variant ConvLSTM
* Dynamic image reconstruction and synthesis framework using deep learning algorithm
* Dynamic mosaicking: combining A* algorithm with fractional Brownian motion for an optimal seamline detection
* E2-capsule neural networks for facial expression recognition using AU-aware attention
* Edge-aware image filtering using a structure-guided CNN
* Edge-guided single facial depth map super-resolution using CNN
* Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images
* Effective hybrid genetic algorithm for removing salt and pepper noise
* Effective key-frame extraction approach using TSTBTC-BBA
* Efficient and unified license plate recognition via lightweight deep neural network
* Efficient computer-aided diagnosis technique for leukaemia cancer detection
* Efficient image classification technique for weather degraded fruit images
* Efficient image noise estimation based on skewness invariance and adaptive noise injection
* Efficient image segmentation method based on an adaptive selection of Gabor filters
* Efficient image structural similarity quality assessment method using image regularised feature
* Efficient inception V2 based deep convolutional neural network for real-time hand action recognition
* Efficient segmentation of lumbar intervertebral disc from MR images
* Efficient symmetric image encryption by using a novel 2D chaotic system
* Eigenstructure involving the histogram for image thresholding
* EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of Images
* Empirical greedy machine-based automatic liver segmentation in CT images
* Empirical wavelet transform-based fog removal via dark channel prior
* End to end system for hazy image classification and reconstruction based on mean channel prior using deep learning network
* End-to-end learning interpolation for object tracking in low frame-rate video
* Energy minimisation-based multi-class multi-instance geometric primitives extraction from 3D point clouds
* Enhanced copy-paste forgery detection in digital images using scale-invariant feature transform
* Enhanced image no-reference quality assessment based on colour space distribution
* Ensemble learning-based COVID-19 detection by feature boosting in chest X-ray images
* Ensemble of deep convolutional neural networks based multi-modality images for Alzheimer's disease diagnosis
* Ensemble-based glioma grade classification using Gabor filter bank and rotation forest
* Evaluating salient object detection in natural images with multiple objects having multi-level saliency
* Evaluation criterion of underwater object clustering segmentation with pulse-coupled neural network
* Evaluation of nano-filler dispersion quality in polymeric films with binary feature characteristics and fractal analysis
* Extreme learning machine with feature mapping of kernel function
* F2PNet: Font-to-painting translation by adversarial learning
* Fabric defect detection using saliency of multi-scale local steering kernel
* Fast algorithm for large-scale subspace clustering by LRR
* Fast and robust image watermarking method in the spatial domain
* Fast and robust superpixel generation method
* Fast and robust video stabilisation with preserved intentional camera motion and smear removal for infrared video
* Fast fractal image compression algorithm using specific update search
* Fast multi-spectral image super-resolution via sparse representation
* Fast prediction mode selection and CU partition for HEVC intra coding
* Fast search real-time face recognition based on DCT coefficients distribution
* Fast visual saliency based on multi-scale difference of Gaussians fusion in frequency domain
* Feature channel enhancement for crowd counting
* Feature encoding with hybrid heterogeneous structure model for image classification
* Feedback evaluations to promote image captioning
* FI-GAN: fewer iterations GAN for rapid synthesis controllable realistic images
* Fingerprint liveness detection based on guided filtering and hybrid image analysis
* Flow driven attention network for video salient object detection
* Flow-based frame interpolation networks combined with occlusion-aware mask estimation
* Forged text detection in video, scene, and document images
* From pyramids to state-of-the-art: a study and comprehensive comparison of visible-infrared image fusion techniques
* Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms
* Fully-automatic raw G-band chromosome image segmentation
* FuSENet: Fused Squeeze-and-Excitation Network for Spectral-Spatial Hyperspectral Image Classification
* Fusing HOG and convolutional neural network spatial-temporal features for video-based facial expression recognition
* General generative model-based image compression method using an optimisation encoder
* Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps
* Generative adversarial image super-resolution network for multiple degradations
* Genetic-based feature fusion in face recognition using arithmetic coded local binary patterns
* Geometry and context guided refinement for stereo matching
* Gesture recognition algorithm based on multi-scale feature fusion in RGB-D images
* Gradient-based kernel selection technique for tumour detection and extraction of medical images using graph cut
* Grain segmentation of sandstone images based on convolutional neural networks and weighted fuzzy clustering
* Guided adaptive interpolation filter
* H-WordNet: a holistic convolutional neural network approach for handwritten word recognition
* Heat diffusion embedded level set evolution for infrared image segmentation
* Hierarchical morphological graph signal multi-layer decomposition for editing applications
* High-precision refocusing method with one interpolation for camera array images
* Higher order PDE based model for segmenting noisy image
* Higher precision range estimation for context-based adaptive binary arithmetic coding
* Highly accurate 3D reconstruction based on a precise and robust binocular camera calibration method
* Highly efficient neoteric histogram-entropy-based rapid and automatic thresholding method for moving vehicles and pedestrians detection
* HU-PageScan: A fully convolutional neural network for document page crop
* Human activity recognition using improved dynamic image
* Hybrid deep emperor penguin classifier algorithm-based image quality assessment for visualisation application in HDR environments
* Hybrid deep learning and machine learning approach for passive image forensic
* Hybrid DSSCS and convolutional neural network for peripheral blood cell recognition system
* Hybrid feature CNN model for point cloud classification and segmentation
* Hybrid higher-order total variation model for multiplicative noise removal
* Hybridisation of single-image super-resolution with edge-aware multi-focus image fusion for edge enrichment
* Hyperspectral image classification using three-dimensional geometric moments
* Hyperspectral image restoration by subspace representation with low-rank constraint and spatial-spectral total variation
* Hyperspectral remote sensing image classification using combinatorial optimisation based un-supervised band selection and CNN
* Identification of wool and mohair fibres with texture feature extraction and deep learning
* Image classification using SLIC superpixel and FAAGKFCM image segmentation
* Image clustering algorithm using superpixel segmentation and non-symmetric Gaussian-Cauchy mixture model
* Image compact-resolution and reconstruction using reversible network
* Image compression using adaptive multiresolution image decomposition algorithm
* Image contrast enhancement with brightness preservation using an optimal gamma and logarithmic approach
* Image copy-move forgery detection algorithm based on ORB and novel similarity metric
* Image copy-move forgery detection using sparse recovery and keypoint matching
* Image DAEs based on residual entropy maximum
* Image decomposition and denoising using fractional-order partial differential equations
* Image dehazing method via a cycle generative adversarial network
* Image dehazing with uneven illumination prior by dense residual channel attention network
* Image denoising using 2D orthogonal locality preserving discriminant projection
* Image encryption using a combination of Grain-128a algorithm and Zaslavsky chaotic map
* Image encryption with cross colour field algorithm and improved cascade chaos systems
* Image enhancement using convolutional neural network to identify similar patterns
* Image interpolation with adaptive k-nearest neighbours search and random non-linear regression
* Image multi-encryption architecture based on hybrid keystream sequence interspersed with Haar discrete wavelet transform
* Image patch prior learning based on random neighbourhood resampling for image denoising
* Image quality assessment via spatial-transformed domains multi-feature fusion
* Image reflection removal using end-to-end convolutional neural network
* Image retrieval based on ASIFT features in a Hadoop clustered system
* Image segmentation algorithm based on neutrosophic fuzzy clustering with non-local information
* Image sorting via a reduction in travelling salesman problem
* Image super-resolution based on conditional generative adversarial network
* Image-independent optimal non-negative integer bit allocation technique for the DCT-based image transform coders
* Improved algorithm for multiple sclerosis diagnosis in MRI using convolutional neural network
* Improved compound image segmentation using automatic pixel block classification with SVM
* Improved framework of many-objective evolutionary algorithm to handle cloud detection problem in satellite imagery
* Improved MR image denoising via low- rank approximation and Laplacian-of-Gaussian edge detector
* Improved probabilistic decision-based trimmed median filter for detection and removal of high-density impulsive noise
* Improved strategy for human action recognition: Experiencing a cascaded design
* Improved water quality mapping based on cross-fusion of Sentinel-2 and Landsat-8 imageries
* Improving 3D reconstruction accuracy in wavelet transform profilometry by reducing shadow effects
* Individual retrieval based on oral cavity point cloud data and correntropy-based registration algorithm
* Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks
* Infrared and visible image fusion using a shallow CNN and structural similarity constraint
* Infrared and visible image fusion using multi-scale NSCT and rolling-guidance filter
* Inhomogeneous morphological PDEs for robust and adaptive image shock filters
* Integrated system for automatic detection of representative video frames in wireless capsule endoscopy using adaptive sliding window singular value decomposition
* Integrating Taylor-Krill herd-based SVM to fuzzy-based adaptive filter for medical image denoising
* Intelligent monitoring method of water quality based on image processing and RVFL-GMDH model
* Inter-frame forgery detection and localisation in videos using earth mover's distance metric
* Investigation of filtering of rain streaks affected video sequences under various quantisation parameter in HEVC encoder using an enhanced V-BM4D algorithm
* Item-to-item recommender system with simultaneous use of multiple images for image mosaicking creation in dynamic scenes
* Iterative PET image reconstruction using cascaded data consistency generative adversarial network
* Joint detection and tracking of non-ellipsoidal extended targets based on cubature Kalman-CBMeMBer sub-random matrices filter
* Joint low-rank project embedding and optimal mean principal component analysis
* Joint rain and atmospheric veil removal from single image
* Kernel-based Bayesian clustering of computed tomography images for lung nodule segmentation
* KSR-BOF: a new and exemplified method (as KSRs method) for image classification
* Learning a minimum similarity projection and lowest correlation representation for image classification
* Learning an adaptive model for extreme low-light raw image processing
* Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation
* Level set based shape prior and deep learning for image segmentation
* Local contrast measure with iterative error for infrared small target detection
* Lossless digital image watermarking in sparse domain by using K-singular value decomposition algorithm
* Low light image enhancement with adaptive sigmoid transfer function
* Low-complexity block tree image coder for visual sensor networks
* Low-rank tensor completion for visual data recovery via the tensor train rank-1 decomposition
* Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review
* MapReduce framework based big data clustering using fractional integrated sparse fuzzy C means algorithm
* MaskHunter: real-time object detection of face masks during the COVID-19 pandemic
* Measuring photography aesthetics with deep CNNs
* Medical fusion framework using discrete fractional wavelets and non-subsampled directional filter banks
* Medical image fusion using the PCNN based on IQPSO in NSST domain
* Medical Image Segmentation Using Deep Learning with Feature Enhancement
* Method for automatic railway track surface defect classification and evaluation using a laser-based 3D model
* Method of multi-region tumour segmentation in brain MRI images using grid-based segmentation and weighted bee swarm optimisation
* Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations
* Minimum class variance broad learning system for hyperspectral image classification
* Modification and hardware implementation of cortex-like object recognition model
* MPA-Net: multi-path attention stereo matching network
* MRGAN: A generative adversarial networks model for global mosaic removal
* Multi-camera 3D ball tracking framework for sports video
* Multi-dimensional data modelling of video image action recognition and motion capture in deep learning framework
* Multi-directional local adjacency descriptors (MDLAD) for heterogeneous face recognition
* Multi-exposure image fusion via a pyramidal integration of the phase congruency of input images with the intensity-based maps
* Multi-focus image fusion with Siamese self-attention network
* Multi-frame image super resolution using spatially weighted total variation regularisations
* Multi-head mutual-attention CycleGAN for unpaired image-to-image translation
* Multi-metric domain adaptation for unsupervised transfer learning
* Multi-modal image fusion based on saliency guided in NSCT domain
* Multi-objectives optimisation of features selection for the classification of thyroid nodules in ultrasound images
* Multi-Scale Feature Fusion Network for Person Re-Identification
* Multi-scale patches based image denoising using weighted nuclear norm minimisation
* Multi-scale supervised network for crowd counting
* Multi-view hand gesture recognition via pareto optimal front
* Multimodal action recognition using variational-based Beta-Liouville hidden Markov models
* Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
* Multiscale matters for part segmentation of instruments in robotic surgery
* Mutual information guided 3D ResNet for self-supervised video representation learning
* Neural network-based image quality comparator without collecting the human score for training
* New adaptive histogram equalisation heuristic approach for contrast enhancement
* New design of adaptive Gabor wavelet filter bank for medical image retrieval
* New flexible directional filter bank by tuning Hermite transform parameters for content based medical image retrieval
* New multi-view human motion capture framework
* New video encryption schemes based on chaotic maps
* No-reference image quality assessment via structural information fluctuation
* No-reference quality assessment for live broadcasting videos in temporal and spatial domains
* No-reference video quality assessment method based on spatio-temporal features using the ELM algorithm
* Non-iterative blind deconvolution algorithm based on power-law distribution
* Non-linear calibration optimisation based on the Levenberg-Marquardt algorithm
* Non-redundant frame identification and keyframe selection in DWT-PCA domain for authentication of video
* Non-uniform image blind deblurring by two-stage fully convolution network
* Normalised gamma transformation-based contrast-limited adaptive histogram equalisation with colour correction for sand-dust image enhancement
* Novel approach for automatic mid-diastole frame detection in 2D echocardiography sequences for performing planimetry of the mitral valve orifice
* Novel breast cancer classification framework based on deep learning
* Novel deep learning model for facial expression recognition based on maximum boosted CNN and LSTM
* Novel distortion free and histogram based data hiding scheme
* Novel framework for automatic localisation of gun carrying by moving person using various indoor and outdoor mimic and real-time views/Scenes
* Novel fuzzy clustering-based bias field correction technique for brain magnetic resonance images
* Novel image encryption by combining dynamic DNA sequence encryption and the improved 2D logistic sine map
* Novel Image Restoration Method Based on Multi-Frame Super-Resolution for Atmospherically Distorted Images
* Novel multiple images encryption algorithm using CML system and DNA encoding
* Novel segmentation algorithm for jacquard patterns based on multi-view image fusion
* Novel superpixel-based algorithm for segmenting lung images via convolutional neural network and random forest
* Novel visual tracking approach via ant lion optimiser
* NSST and vector-valued C-V model based image segmentation algorithm
* NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network
* Object counting method based on dual attention network
* Object detection based on RGC mask R-CNN
* Occlusion-handling tracker based on discriminative correlation filters
* Optical flow refinement using iterative propagation under colour, proximity and flow reliability constraints
* Optimal weighted bilateral filter with dual-range kernel for Gaussian noise removal
* Optimisation analysis of pulmonary nodule diagnostic test based on deep belief nets
* Optimisation of both classifier and fusion based feature set for static American sign language recognition
* Optimisation of linear dependence energy for object co-segmentation in a set of images with heterogeneous contents
* Optimised hybrid classifiers for automatic HEp-2 cell classification
* Optimised multi-wavelet domain for decomposed electrooculogram-based eye movement classification
* Optimised robust watermarking technique using CKGSA in DCT-SVD domain
* Ordered and fixed-length bit-string fingerprint representation with minutia vicinity combined feature and spectral clustering
* Outlier percentage estimation for shape- and parameter-independent outlier detection
* Pain intensity recognition via multi-scale deep network
* Parallel strength Pareto evolutionary algorithm-II based image encryption
* Pavement crack detection network based on pyramid structure and attention mechanism
* Perceptual accessible image encryption scheme conjugating multiple chaotic maps
* Performance enhancement of image segmentation analysis for multi-grade tumour classification in MRI image
* Performance evaluation of single and cross-dimensional feature detection and description
* Phase congruency and ODBTC based image retrieval
* Physics-based dynamic texture analysis and synthesis model using GPU
* point-based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox, A
* PReLU and edge-aware filter-based image denoiser using convolutional neural network
* Printed Persian OCR system using deep learning
* Privacy preserving search index for image databases based on SURF and order preserving encryption
* Progressive learning with style transfer for distant domain adaptation
* Property-based shadow detection and removal method for licence plate image
* Proximal approach to denoising hyperspectral images under mixed-noise model
* Pulmonary nodule risk classification in adenocarcinoma from CT images using deep CNN with scale transfer module
* Quality assessment framework for video contextualisation of personal videos
* Quantitative analysis of cell morphology based on the contourlet transform
* Quantitative assessment of capabilities of colour models for pen ink discrimination in handwritten documents
* Rapid region analysis for classification
* Real-time keypoints detection for autonomous recovery of the unmanned ground vehicle
* Real-time least-squares ensemble visual tracking
* Real-time multi-trajectory matching for dynamic hand gesture recognition
* Recognition of cursive video text using a deep learning framework
* Recognition of distorted QR codes with one missing position detection pattern
* Reference data preparation for complex satellite image segmentation
* Regularised IHS-based pan-sharpening approach using spectral consistency constraint and total variation
* ResDNN: deep residual learning for natural image denoising
* Research on adaptive local feature enhancement in convolutional neural networks
* Research on fingerprint classification based on twin support vector machine
* Residual-wider convolutional neural network for image recognition
* Retinal image blood vessel extraction and quantification with Euclidean distance transform approach
* Retinal vessel segmentation based on task-driven generative adversarial network
* Reversible contrast enhancement for medical images with background segmentation
* Reversible data hiding in encrypted images for coding channel based on adaptive steganography
* Review of image processing approaches for detecting plant diseases
* Reweighted infrared patch image model for small target detection based on non-convex Lp-norm minimisation and TV regularisation
* Ring oscillator as confusion- diffusion agent: A complete TRNG drove image security
* Robust defect detection in 2D images printed on 3D micro-textured surfaces by multiple paired pixel consistency in orientation codes
* Robust graph regularised sparse matrix regression for two-dimensional supervised feature selection
* Robust image hashing with visual attention model and invariant moments
* Robust landmark-free head pose estimation by learning to crop and background augmentation
* Robust palmprint identification using efficient enhancement and two-stage matching technique
* Robust random walk for leaf segmentation
* Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum
* Robust segmentation of the colour image by fusing the SDD clustering results from different colour spaces
* Rotational invariant biologically inspired object recognition
* Row-level algorithm to improve real-time performance of glass tube defect detection in the production phase
* Salient object detection via reliability-based depth compactness and depth contrast
* SAR image denoising based on multifractal feature analysis and TV regularisation
* SAR multi-target interactive motion recognition based on convolutional neural networks
* SE-RWNN: an synergistic evolution and randomly wired neural network-based model for adaptive underwater image enhancement
* Secure high capacity tetris-based scheme for data hiding
* Securing DICOM images by a new encryption algorithm using Arnold transform and Vigenère cipher
* Segmentation method of multiple sclerosis lesions based on 3D-CNN networks
* Segmentation of brain magnetic resonance images using a novel fuzzy clustering based method
* Segmentation of images through curve fitting analysis by modified Vandermonde matrix and modified Gram-Schmidt method
* Segmentation of the pulmonary nodule and the attached vessels in the CT scan of the chest using morphological features and topological skeleton of the nodule
* Segmentation techniques for early cancer detection in red blood cells with deep learning-based classifier'a comparative approach
* Segmentation using fuzzy cluster-based thresholding method for apple fruit sorting
* Segmentation-based MAP despeckling of medical ultrasound images in shearlet domain based on normal inverse Gaussian distribution
* Segmentation-based recognition system for handwritten Bangla and Devanagari words using conventional classification and transfer learning
* Self-guided filter for image denoising
* Semantic combined network for zero-shot scene parsing
* Semi-supervised convolutional generative adversarial network for hyperspectral image classification
* Siamese convolutional neural network-based approach towards universal image forensics
* SiameseCCR: a novel method for one-shot and few-shot Chinese CAPTCHA recognition using deep Siamese network
* SIFT and HOG features for the retrieval of ancient Kannada epigraphs
* Simple accurate model-based phase diversity phase retrieval algorithm for wavefront sensing in high-resolution optical imaging systems
* Simple algorithm for L1-norm regularisation-based compressed sensing and image restoration
* Simultaneous filter tuning and calibration of the camera and inertial measurement unit camera for a vision inertial navigation system
* Single image rain removal with reusing original input squeeze-and-excitation network
* Single image super-resolution based on sparse representation using dictionaries trained with input image patches
* Smart feature extraction and classification of hyperspectral images based on convolutional neural networks
* Smoke detection in ship engine rooms based on video images
* Social bat optimisation dependent deep stacked auto-encoder for skin cancer detection
* SODNet: Small object detection using deconvolutional neural network
* Soft biometrics-based face image retrieval using improved Grey Wolf Optimisation
* Sonar image mosaic based on a new feature matching method
* Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm
* Special Issue Retraction: Combined mixed Gaussian model with pattern recognition in the automatic diagnosis of Alzheimer's disease
* Special Issue Retraction: Convolutional neural network based on differential privacy in exponential attenuation mode for image classification
* Special Issue Retraction: Improved artificial bee colony algorithm with opposition-based learning
* Special Issue Retraction: Innovative approach for multimodal fusion recognition based feature extraction using band-limited phase-only correlation and discrete orthonormal Stockwell transform
* Special Issue Retraction: Jointly network image processing: multi-task image semantic segmentation of indoor scene based on CNN
* Special Issue Retraction: KSSD: Single-stage multi-object detection algorithm with higher accuracy
* Special Issue Retraction: Research on image sharpening algorithm in weak illumination environment
* Special Issue Retraction: Research on measurement and energy efficiency improvement of flat panel display based on industrial control
* Specific Category Region Proposal Network for Text Detection in Natural Scene
* Speckle suppression in medical ultrasound images through Schur decomposition
* Stereo matching for infrared images using guided filtering weighted by exponential moving average
* Structure preservation in content-aware image retargeting using multi-operator
* Structure tensor-based SIFT algorithm for SAR image registration
* Structure-texture image decomposition using a new non-local TV-Hilbert model
* Subpixel image registration regularised by L_1 and L_2 norms
* Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters
* Super-resolution image reconstruction using molecular docking
* Super-resolution mapping of hyperspectral satellite images using hybrid genetic algorithm
* Support vector machine classification combined with multimodal magnetic resonance imaging in detection of patients with schizophrenia
* Support vector machine combined with magnetic resonance imaging for accurate diagnosis of paediatric pancreatic cancer
* Surface segmentation and environment change analysis using band ratio phenology index method- supervised aspect
* Survey of single image super-resolution reconstruction
* Survey on mixed impulse and Gaussian denoising filters
* Survey on visual sentiment analysis
* Swift distance transformed belief propagation using a novel dynamic label pruning method
* Symbol positions-based Slepian-Wolf coding with application to distributed video coding
* Synthetic medical image generator for data augmentation and anonymisation based on generative adversarial network for glioblastoma tumors growth prediction
* Tablet identification using support vector machine based text recognition and error correction by enhanced n-grams algorithm
* Target distance measurement method using monocular vision
* Target object detection using chicken social-based deep belief network with hyperspectral imagery
* Target segmentation of industrial smoke image based on LBP Silhouettes coefficient variant (LBPSCV) algorithm
* Target tracker with masked discriminative correlation filter
* Tensor total variation regularised low-rank approximation framework for video deraining
* Texture and colour region separation based image retrieval using probability annular histogram and weighted similarity matching scheme
* Toward a general model for reflection recovery and single image enhancement
* Training approach using the shallow model and hard triplet mining for person re-identification
* Tumour growth prediction of follow-up lung cancer via conditional recurrent variational autoencoder
* Two viewpoints based real-time recognition for hand gestures
* Two-scale fusion method of infrared and visible images via parallel saliency features
* Two-stage image smoothing based on edge-patch histogram equalisation and patch decomposition
* Two-stage traffic sign detection and recognition based on SVM and convolutional neural networks
* Two-stage visible watermark removal architecture based on deep learning
* UCT-GAN: underwater image colour transfer generative adversarial network
* Underwater sonar image classification using generative adversarial network and convolutional neural network
* Unified deep learning approach for prediction of Parkinson's disease
* Unsupervised multiscale retinal blood vessel segmentation using fundus images
* Urdu handwritten text recognition: a survey
* Use of gradient and normal vectors for face recognition
* Vanishing Point Detection Using the Teaching Learning-Based Optimisation Algorithm
* Variable step-size matching pursuit based on oblique projection for compressed sensing
* Varied channels region proposal and classification network for wildlife image classification under complex environment
* Vector ordering and regression learning-based ranking for dynamic summarisation of user videos
* Vehicle detection based on improved multitask cascaded convolutional neural network and mixed image enhancement
* Vehicle detection in intelligent transport system under a hazy environment: a survey
* Video segmentation scheme based on AMC
* Video summarisation with visual and semantic cues
* Visual object tracking via iterative ant particle filtering
* Visual saliency based global-local feature representation for skin cancer classification
* Volumetric lung nodule segmentation in thoracic CT scan using freehand sketch
* Water level monitoring using classification techniques on Landsat-8 data at Sangam region, Prayagraj, India
* Wavelet transform modulus maxima-based robust logo watermarking
* Wavelet-based deep learning for skin lesion classification
* Where to look: a collection of methods forMAV heading correction in underground tunnels
* Wise optimisation: deep image embedding by informative pair weighting and ranked list learning
* Writer identification with n-tuple direction feature from contour
* XNORCONV: CNNs accelerator implemented on FPGA using a hybrid CNNs structure and an inter-layer pipeline method
504 for IET-IPR(14)

IET-IPR(15) * *Seed picking crossover optimisation algorithm for semantic segmentation from images
* Accurate and efficient vehicle detection framework based on SSD algorithm
* Adaptive colour restoration and detail retention for image enhancement
* Adaptive comprehensive particle swarm optimisation-based functional-link neural network filtre model for denoising ultrasound images
* Adaptive enhanced affine transformation for non-rigid registration of visible and infrared images
* adaptive level set method based on joint estimation dealing with intensity inhomogeneity, An
* AFF-UNIT: Adaptive feature fusion for unsupervised image-to-image translation
* Agile reactive navigation for a non-holonomic mobile robot using a pixel processor array
* Alzheimer's disease diagnosis based on the visual attention model and equal-distance ring shape context features
* AMBCR: Low-light image enhancement via attention guided multi-branch construction and Retinex theory
* Analysis on segmentation and biomarker-based approaches for liver cancer detection: A survey
* Anomaly detection in video sequences: A benchmark and computational model
* Application of a novel image moment computation in X-ray and MRI image watermarking
* Artefact-free image stitching via a better normed seam-cutting energy function
* Atom search-Jaya-based deep recurrent neural network for liver cancer detection
* Attention-based video object segmentation algorithm
* Attentive generative adversarial network for removing thin cloud from a single remote sensing image
* Automatic detection of safety helmet wearing based on head region location
* automatic feature selection and classification framework for analyzing ultrasound kidney images using dragonfly algorithm and random forest classifier, An
* Automatic image segmentation based on label propagation
* Automatic license plate recognition on microprocessors and custom computing platforms: A review
* Behaviour detection in crowded classroom scenes via enhancing features robust to scale and perspective variations
* BFGS method based variable projection approach for image restoration
* Bilateral attention network for semantic segmentation
* Blocking artefacts reduction based on a ripple matrix permutation image of high-frequency images in the wavelet domain
* Blood vessel and background separation for retinal image quality assessment
* Boundary augment: A data augment method to defend poison attack
* Brain medical image fusion scheme based on shuffled frog-leaping algorithm and adaptive pulse-coupled neural network
* Brain tumour cell segmentation and detection using deep learning networks
* CA-PMG: Channel attention and progressive multi-granularity training network for fine-grained visual classification
* Candidate box fusion based approach to adjust position of the candidate box for object detection
* Change detection with cross enhancement of high- and low-level change-related features
* Class structure-aware adversarial loss for cross-domain human action recognition
* Classification of breast mass in two-view mammograms via deep learning
* Classification of hand-wrist maturity level based on similarity matching
* Classification of human activity detection based on an intelligent regression model in video sequences
* Cloud detection of GF-7 satellite laser footprint image
* CNN-based infrared dim small target detection algorithm using target-oriented shallow-deep features and effective small anchor
* Co-teaching based pseudo label refinery for cross-domain object detection
* Colour image segmentation based on a convex K-means approach
* Completely blind image quality assessment via contourlet energy statistics
* Constructing an efficient and adaptive learning model for 3D object generation
* content-dependent Daltonization algorithm for colour vision deficiencies based on lightness and chroma information, A
* Continuous digital zooming using generative adversarial networks for dual camera system
* Contrastive learning of graph encoder for accelerating pedestrian trajectory prediction training
* Convolutional neural network for smoke and fire semantic segmentation
* COVID-19 disease severity assessment using CNN model
* Cross-modal semantic correlation learning by Bi-CNN network
* Crowd activity recognition in live video streaming via 3D-ResNet and region graph convolution network
* Crowd counting with segmentation attention convolutional neural network
* Crowd estimation using key-point matching with support vector regression
* Crowd understanding and analysis
* CSIS: Compressed sensing-based enhanced-embedding capacity image steganography scheme
* Deep forgery discriminator via image degradation analysis
* Deep learning for occluded and multi-scale pedestrian detection: A review
* deep learning method for video-based action recognition, A
* Deep Multi-Level Up-Projection Network for Single Image Super-Resolution
* Deep residual deconvolutional networks for defocus blur detection
* Deep social force network for anomaly event detection
* Deep spectral unmixing framework via 3D denoising convolutional autoencoder
* Delta tributary network: An efficient alternate approach for bottleneck layers in CNN for plant disease classification
* Dense connection decoding network for crisp contour detection
* Dense spatio-temporal stereo matching for intelligent driving systems
* Detail texture detection based on YOLOV4-tiny combined with attention mechanism and bicubic interpolation
* Detection of material on a tray in automatic assembly line based on convolutional neural network
* Diagnosing skin cancer via C-means segmentation with enhanced fuzzy optimization
* Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques
* discriminative self-attention cycle GAN for face super-resolution and recognition, A
* Double-weighted patch-based label fusion for MR brain image segmentation
* Dual branch convolutional neural network for copy move forgery detection
* dual-attention V-network for pulmonary lobe segmentation in CT scans, A
* Dual-view 3D human pose estimation without camera parameters for action recognition
* DuGAN: An effective framework for underwater image enhancement
* Dynamic Optimization of Hessian Determinant Image Pyramid for Memory-Efficient and High Performance Keypoint Detection in SURF
* Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications
* effective weighted vector median filter for impulse noise reduction based on minimizing the degree of aggregation, An
* Efficient detection and robust tracking of spermatozoa in microscopic video
* efficient framework for deep learning-based light-defect image enhancement, An
* efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space, An
* Efficient recurrent attention network for remote sensing scene classification
* efficient semantic segmentation method based on transfer learning from object detection, An
* efficient way to use MS-CLEAN associated with Shannon's entropy, An
* End-to-end feature fusion Siamese network for adaptive visual tracking
* Error feedback denoising network
* exclusive-disjunction-based detection of neovascularisation using multi-scale CNN, An
* Exploiting texture characteristics and spatial correlations for robustness metric of data hiding with noisy transmission
* Extraction of compact boundary normalisation based geometric descriptors for affine invariant shape retrieval
* Face alignment based on fusion subspace and 3D fitting
* Face hallucination based on cluster consistent dictionary learning
* Face recognition based on adaptive margin and diversity regularization constraints
* Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction
* Fast and efficient lossless encoder in image compression with low computation and low memory
* Fast depth intra coding based on texture feature and spatio-temporal correlation in 3D-HEVC
* fast level set image segmentation driven by a new region descriptor, A
* Feature fusion quality assessment model for DASH video streaming
* Feature pyramid U-Net for retinal vessel segmentation
* feature-optimized Faster regional convolutional neural network for complex background objects detection, A
* Features' value range approach to enhance the throughput of texture classification
* Finger vein recognition algorithm under reduced field of view
* Forgery localization in images based on joint statistics of image blocks with neighbouring blocks
* FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine
* Fractional-order generalized Laguerre moments and moment invariants for grey-scale image analysis
* full-reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features, A
* Full-reference tone-mapped images quality assessment
* Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement
* Fuzzy based iterative matting technique for underwater images
* fuzzy spectral clustering algorithm for hyperspectral image classification, A
* Gait recognition based on sparse linear subspace
* Gender discrimination, age group classification and carried object recognition from gait energy image using fusion of parallel convolutional neural network
* generalized quality assessment method for natural and screen content images, A
* Generative Adversarial Network for Low-Light Image Enhancement
* Generative domain adaptation for chest X-ray image analysis
* Graph wavelet transform for image texture classification
* Graph-based saliency and ensembles of convolutional neural networks for glaucoma detection
* Ground truth free retinal vessel segmentation by learning from simple pixels
* Hard exudate segmentation in retinal image with attention mechanism
* HCISNet: Higher-capacity invisible image steganographic network
* Hierarchical guided network for low-light image enhancement
* High energy flash X-ray image restoration using region extrema and kernel optimization
* High-resolution optical-to-SAR image registration using mutual information and SPSA optimisation
* High-sensitivity synchronous image encryption based on improved one-dimensional compound sine map
* High-speed target tracking algorithm for the pulse-sequence-based image sensor
* HNSF Log-Demons: Diffeomorphic demons registration using hierarchical neighbourhood spectral features
* Human behaviour recognition with mid-level representations for crowd understanding and analysis
* hybrid BPSO-SVM for feature selection and classification of ocular health, A
* hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition, A
* Hyperspectral face recognition with a spatial information fusion for local dynamic texture patterns and collaborative representation classifier
* Hyperspectral image classification using 3D 2D CNN
* Hyperspectral image, video compression using sparse Tucker tensor decomposition
* Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer learning
* Image defogging based on amended dark channel prior and 4-directional L1 regularisation
* image denoising algorithm based on adaptive clustering and singular value decomposition, An
* Image denoising based on BCOLTA: Dataset and study
* Image denoising method based on variable exponential fractional-integer-order total variation and tight frame sparse regularization
* Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial
* image encryption algorithm with a plaintext-related quantisation scheme, An
* Image resolution and contrast enhancement with optimal brightness compensation using wavelet transforms and particle swarm optimization
* Image restoration model using Jaya-Bat optimization-enabled noise prediction map
* Image stitching method by multi-feature constrained alignment and colour adjustment
* Improve conditional adversarial domain adaptation using self-training
* improved algorithm using weighted guided coefficient and union self-adaptive image enhancement for single image haze removal, An
* improved symbol reduction technique based Huffman coder for efficient entropy coding in the transform coders, An
* Improving crowd counting with scale-aware convolutional neural network
* In-orbit geometric calibration approach and positioning accuracy analysis for the Gaofen-7 laser footprint camera
* Infrared imaging enhancement through local window-based saliency extraction with spatial weight
* Infrared small target detection based on non-convex triple tensor factorisation
* innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods, An
* Integration of gradient guidance and edge enhancement into super-resolution for small object detection in aerial images
* Interest point detection from multi-beam light detection and ranging point cloud using unsupervised convolutional neural network
* Iterative Multi-Scale Residual Network for Deblurring
* Iterative registration for multi-modality retinal fundus photographs using directional vessel skeleton
* Jointly human semantic parsing and attribute recognition with feature pyramid structure in EfficientNets
* Keypoint based comprehensive copy-move forgery detection
* keypoint-based object detection method with wide dual-path backbone network and attention modules, A
* KS-FQA: Keyframe selection based on face quality assessment for efficient face recognition in video
* Latent label mining for group activity recognition in basketball videos
* Learn from Object Counting: Crowd Counting with Meta-learning
* Learning adaptive spatial-temporal regularized correlation filters for visual tracking
* Learning-free handwritten word spotting method for historical handwritten documents
* Lemon-YOLO: An efficient object detection method for lemons in the natural environment
* Level set method with Retinex-corrected saliency embedded for image segmentation
* level-set method for inhomogeneous image segmentation with application to breast thermography images, A
* Leveraging attention-based visual clue extraction for image classification
* Light field editing in the gradient domain
* Localised edge-region-based active contour for medical image segmentation
* Looking around in the neighbourhood: Location estimation of outdoor urban images
* Low-light image enhancement based on exponential Retinex variational model
* Low-light image enhancement based on Retinex decomposition and adaptive gamma correction
* low-light image enhancement method based on bright channel prior and maximum colour channel, A
* Low-rank nonnegative sparse representation and local preservation-based matrix regression for supervised image feature selection
* LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images
* Meaningful ciphertext encryption algorithm based on bit scrambling, discrete wavelet transform, and improved chaos
* Medical image encryption scheme based on self-verification matrix
* Medical image fusion and noise suppression with fractional-order total variation and multi-scale decomposition
* Medical image steganographic algorithm via modified LSB method and chaotic map
* Medical JPEG image steganography method according to the distortion reduction criterion based on an imperialist competitive algorithm
* method of inpainting moles and acne on the high-resolution face photos, A
* method of lining seam elimination with angle adaptation and rectangular mark for road tunnel concrete lining images, A
* MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection
* MFP-Net: Multi-scale feature pyramid network for crowd counting
* Mixed Poisson Gaussian noise reduction in fluorescence microscopy images using modified structure of wavelet transform
* motion parameters estimating method based on deep learning for visual blurred object tracking, A
* Moving target inverse synthetic aperture radar image resolution enhancement based on two-dimensional block sparse signal reconstruction
* MPI: Multi-receptive and parallel integration for salient object detection
* MSNet: A novel end-to-end single image dehazing network with multiple inter-scale dense skip-connections
* MSR-FAN: Multi-scale residual feature-aware network for crowd counting
* multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images, A
* Multi-dimensional weighted cross-attention network in crowded scenes
* Multi-exposure image fusion based on feature evaluation with adaptive factor
* Multi-focus image fusion evaluation based on jointly sparse representation and atom focus measure
* Multi-image encryption algorithm based on image hash, bit-plane decomposition and dynamic DNA coding
* Multi-label learning based target detecting from multi-frame data
* Multi-level features extraction network with gating mechanism for crowd counting
* Multi-style Chinese art painting generation of flowers
* Multi-view intrinsic low-rank representation for robust face recognition and clustering
* Multiple object tracking based on multi-task learning with strip attention
* Multiscale ensemble of convolutional neural networks for skin lesion classification
* Multistage reaction-diffusion equation network for image super-resolution
* new blind image conversion complexity metric for intelligent CMOS image sensors, A
* new blind image denoising method based on asymmetric generative adversarial network, A
* new recognition algorithm for high-voltage lines based on improved LSD and convolutional neural networks, A
* new two-stage method for single image rain removal, A
* night low-illumination image enhancement model based on small probability area filtering and lossless mapping enhancement, A
* No-reference image quality assessment based on multiscale feature representation
* Noise robust intuitionistic fuzzy c-means clustering algorithm incorporating local information
* novel denoising algorithm for medical images based on the non-convex non-local similar adaptive regularization, A
* novel diagnostic map for computer-aided diagnosis of skin cancer, A
* novel face recognition method based on fusion of LBP and HOG, A
* novel reversible data hiding based on adaptive block-partition and payload-allocation method, A
* novel weighted total variation model for image denoising, A
* Object scale selection of hierarchical image segmentation with deep seeds
* Occluded pedestrian detection combined with semantic features
* On learning based compressed sensing for high resolution image reconstruction
* Online variational inference on finite multivariate Beta mixture models for medical applications
* Optimised CNN in conjunction with efficient pooling strategy for the multi-classification of breast cancer
* Optimized deep learning model for mango grading: Hybridizing lion plus firefly algorithm
* optimized YOLO-based object detection model for crop harvesting system, An
* PaI-Net: A modified U-Net of reducing semantic gap for surgical instrument segmentation
* Pain expression assessment based on a locality and identity aware network
* Parallel global convolutional network for semantic image segmentation
* parallel multi-block alternating direction method of multipliers for tensor completion, A
* Paralleled attention modules and adaptive focal loss for Siamese visual tracking
* Part-level attention networks for cross-domain person re-identification
* Part-MOT: A multi-object tracking method with instance part-based embedding
* Pedestrian re-identification based on attribute mining and reasoning
* pixel pair-based encoding pattern for stereo matching via an adaptively weighted cost, A
* plexus-convolutional neural network framework for fast remote sensing image super-resolution in wavelet domain, A
* pre-processing technique to decrease inspection time in glass tube production lines, A
* Pre-training of gated convolution neural network for remote sensing image super-resolution
* Prior-guided multiscale network for single-image dehazing
* probabilistic collaborative dictionary learning-based approach for face recognition, A
* Providing clear pruning threshold: A novel CNN pruning method via L0 regularisation
* Pseudo-Siamese residual atrous pyramid network for multi-focus image fusion
* pyramid non-local enhanced residual dense network for single image de-raining, A
* Real-time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector
* Real-time long-term tracking with reliability assessment and object recovery
* Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture
* Recurrent learning with clique structures for prostate sparse-view CT artifacts reduction
* Remote sensing image super-resolution based on convolutional blind denoising adaptive dense connection
* Remote sensing target tracking in satellite videos based on a variable-angle-adaptive Siamese network
* remote-sensing image enhancement algorithm based on patch-wise dark channel prior and histogram equalisation with colour correction, A
* Residual dense U-Net for abnormal exposure restoration from single images
* Reversible data hiding for encrypted image based on adaptive prediction error coding
* review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI, A
* Review of automated segmentation approaches for knee images
* Road extraction from high resolution remote sensing image via a deep residual and pyramid pooling network
* robust sperm cell tracking algorithm using uneven lighting image fixing and improved branch and bound algorithm, A
* robust tracking algorithm for a human-following mobile robot, A
* Robustly correlated key-medical image for DNA-chaos based encryption
* Rotational invariant fractional derivative filters for lung tissue classification
* Salient region growing based on Gaussian pyramid
* Salient target detection in hyperspectral image based on visual attention
* SAR image despeckling using deep CNN
* SAR image noise suppression of BEMD by the kernel principle component analysis
* Scale space Radon transform
* Secure high capacity tetris-based scheme for data hiding
* Security augmentation grounded on Fresnel and Arnold transforms using hybrid chaotic structured phase mask
* Segmentation of osteosarcoma in MRI images by K-means clustering, Chan-Vese segmentation, and iterative Gaussian filtering
* Segregation of meaningful strokes, a pre-requisite for self co-articulation removal in isolated dynamic gestures
* Selective focus saliency model driven by object class-awareness
* SeqFace: Learning discriminative features by using face sequences
* SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images
* Shadow detection from images using fuzzy logic and PCPerturNet
* Single image dehazing based on bright channel prior model and saliency analysis strategy
* Smart pansharpening approach using kernel-based image filtering
* Sparse representation based intraframe and semi-intraframe video coding schemes for low bitrates
* Sparse representation for face recognition: A review paper
* Spatial-tree filter for cost aggregation in stereo matching
* Spectral clustering based on high-frequency texture components for face datasets
* Spectral recovery-guided hyperspectral super-resolution using transfer learning
* stochastic approach for automated brain MRI segmentation, A
* Subcutaneous sweat pore estimation from optical coherence tomography
* Tensor dimensionality reduction via mode product and HSIC
* Texture and exposure awareness based refill for HDRI reconstruction of saturated and occluded areas
* Thigh muscle segmentation using a hybrid FRFCM-based multi-atlas method and morphology-based interpolation algorithm
* Towards accurate classification of skin cancer from dermatology images
* Towards accurate coronary artery calcium segmentation with multi-scale attention mechanism
* trade-off between accuracy and the complexity of real-time background subtraction, The
* U-FPNDet: A one-shot traffic object detector based on U-shaped feature pyramid module
* UDA-Net: Densely attention network for underwater image enhancement
* Underwater image enhancement based on colour correction and fusion
* Underwater image restoration: A state-of-the-art review
* unsupervised approach for traffic motion patterns extraction, An
* Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction
* Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C-means clustering algorithm
* unsupervised generative adversarial network for single image deraining, An
* Unsupervised many-to-many image-to-image translation across multiple domains
* unsupervised person re-identification approach based on cross-view distribution alignment, An
* Vector co-occurrence morphological edge detection for colour image
* Vehicle detection in aerial images based on lightweight deep convolutional network
* Vehicle license plate recognition for fog-haze environments
* Video Super-Resolution with Non-Local Alignment Network
* Visual-attention GAN for interior sketch colourisation
* Weakly Supervised Salient Object Detection Via Double Object Proposals Guidance
* Weibull-distribution-based hybrid total variation method for speckle reduction in ultrasound images, A
* Weight-based colour constancy using contrast stretching
* Window-aware guided image filtering via local entropy
* YOLOFig detection model development using deep learning
298 for IET-IPR(15)

IET-IPR(16) * Abnormal area identification of corn ear based on semi-supervised learning
* AC-SDBSCAN: Toward concealed object detection of passive terahertz images
* Active contour driven by adaptive-scale local-energy signed pressure force function based on bias correction for medical image segmentation
* Active contour model of breast cancer DCE-MRI segmentation with an extreme learning machine and a fuzzy C-means cluster
* Adaptive Aggregation with Self-Attention Network for Gastrointestinal Image Classification
* Adaptively weighted learning method for magnetic resonance fingerprinting
* Airport small object detection based on feature enhancement
* algorithm to detect overlapping red blood cells for sickle cell disease diagnosis, An
* Angular-spatial analysis of factors affecting the performance of light field reconstruction
* Arbitrary Style Transfer with Attentional Networks Via Unbalanced Optimal Transport
* Atmospheric turbulence degraded image restoration using a modified dilated convolutional network
* Attention transfer from human to neural networks for road object detection in winter
* Attention-Based Multi-Channel Feature Fusion Enhancement Network to Process Low-Light Images
* Augmented global attention network for image super-resolution
* automatic breast computer-aided diagnosis scheme based on a weighted fusion of relevant features and a deep CNN classifier, An
* Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method
* Automatic geo-localization framework without GNSS data
* BAM: Block attention mechanism for OCT image classification
* Bit-level image encryption algorithm based on fully-connected-like network and random modification of edge pixels
* blind contour-aware quality model for sonar images, A
* Blind denoising using dense hybrid convolutional network
* Blood-contaminated endoscopic image restoration based on residual VQ-VAE with cascaded structure
* CEFusion: Multi-Modal medical image fusion via cross encoder
* CFN: A coarse-to-fine network for eye fixation prediction
* CFNet: Context Fusion Network for Multi-Focus Images
* Channel splitting attention network for low-light image enhancement
* Class-wise boundary regression by uncertainty in temporal action detection
* CMC2R: Cross-modal collaborative contextual representation for RGBT tracking
* Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3
* coarse-refine segmentation network for COVID-19 CT images, A
* COLF-GAN: Learning to axial super-resolve focal stacks
* Colour balance and contrast stretching for sand-dust image enhancement
* combination of feature extraction methods and deep learning for brain tumour classification, A
* Combine unlabeled with labeled MR images to measure acute ischemic stroke lesion by stepwise learning
* Component-based nearest neighbour subspace clustering
* Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques
* comprehensive review of video steganalysis, A
* comprehensive survey: Image deraining and stereo-matching task-driven performance analysis, A
* Compressed dual-channel neural network with application to image-based smoke detection
* Consensus rule for wheat cultivar classification on VL, VNIR and SWIR imaging
* Content-Augmented Feature Pyramid Network with Light Linear Spatial Transformers for Object Detection
* Contour information regularized tensor ring completion for realistic image restoration
* Corner-based object detection method for reactivating box constraints
* Corrected rank residual constraint model for image denoising
* COVID-19 CXR image recognition method based on MSA-DDCovidNet, A
* CP-GAN: Meet the high requirements of diagnose report to medical image by content preservation
* CPC-GSCT: Visual quality assessment for coloured point cloud based on geometric segmentation and colour transformation
* CPDINet: Blind image quality assessment via a content perception and distortion inference network
* Cross-domain person re-identification based on background suppression and identity consistency
* Data augmentation and shadow image classification for shadow detection
* Data gap decomposed by auxiliary modality for NIR-VIS heterogeneous face recognition
* DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation
* Deep coordinate attention network for single image super-resolution
* deep grouping fusion neural network for multimedia content understanding, A
* Deep image inpainting via contextual modelling in ADCT domain
* deep learning approach for the classification of TB from NIH CXR dataset, A
* deep learning-based method for pixel-level crack detection on concrete bridges, A
* dense R-CNN multi-target instance segmentation model and its application in medical image processing, A
* Detecting adversarial examples by additional evidence from noise domain
* Diagnose Alzheimer's disease by combining 3D discrete wavelet transform and 3D moment invariants
* Disentangled and controllable sketch creation based on disentangling the structure and color enhancement
* Disentangled representation learning GANs for generalized and stable font fusion network
* DMA-Net: Dual multi-instance attention network for X-ray image classification
* Double bit range estimation with eight estimators for CABAC in VVC
* DS-SRI: Diversity similarity measure against scaling, rotation, and illumination change for robust template matching
* Dual integration of multi-model with spatial-temporal occlusion-awareness for visual object tracking
* dual quantum image feature extraction method: PSQIFE, A
* Dual-attention guided network for facial action unit detection
* Dynamic manifold Boltzmann optimization based on self-supervised learning for human motion estimation
* dynamic object filtering approach based on object detection and geometric constraint between frames, A
* Dynamic thresholding for video anomaly detection
* Dynamic-difference based generative adversarial network for coal-rock fracture evolution prediction
* EAOD-Net: Effective anomaly object detection networks for X-ray images
* Edge-aware image outpainting with attentional generative adversarial networks
* effective LRTC model integrated with total a-order variation and boundary adjustment for multichannel visual data inpainting, An
* efficient coding-based grayscale image automatic colorization method combined with attention mechanism, An
* Efficient Video Hashing Based on Low-Rank Frames
* end-to-end perceptual enhancement method for UHD portrait images, An
* End-to-end Tangut character database building and recognition method
* Enhanced gradient learning for deep neural networks
* Enhancement algorithm for high visibility of underwater images
* Ensemble cross-stage partial attention network for image classification
* ESA-CycleGAN: Edge feature and self-attention based cycle-consistent generative adversarial network for style transfer
* EU-Net: A novel semantic segmentation architecture for surface defect detection of mobile phone screens
* Experimental protocol designed to employ Nd:YAG laser surgery for anterior chamber glaucoma detection via UBM
* Exploiting robust unsupervised video person re-identification
* Facial skin colour classification using machine learning and hyperspectral imaging data
* Falling motion detection algorithm based on deep learning
* Fast 3D-HEVC inter coding using data mining and machine learning
* Fast algorithm for box-constrained fractional-order total variation image restoration with impulse noise
* Fast bilateral complementary network for deep learning compressed sensing image reconstruction
* Fast CP-compression layer: Tensor CP-decomposition to compress layers in deep learning
* Fast outdoor hazy image dehazing based on saturation and brightness
* Fast robust fuzzy clustering based on bipartite graph for hyper-spectral image classification
* Fast ship detection based on lightweight YOLOv5 network
* Feature difference for single-shot object detection
* Feature hallucination in hypersphere space for few-shot classification
* Feature-based no-reference video quality assessment using Extra Trees
* FishNet: Fish visual recognition with one stage multi-task learning
* Focal learning on stranger for imbalanced image segmentation
* FPNFuse: A lightweight feature pyramid network for infrared and visible image fusion
* free-form surface flattening algorithm that minimizes geometric deformation energy, A
* Gaussian noise parameter estimation based on multiple singular value decomposition and non-linear fitting
* Gesture recognition based on modified YoloV5s
* Glioma classification framework based on SE-ResNeXt network and its optimization
* Globality constrained adaptive graph regularized non-negative matrix factorization for data representation
* Goal oriented image quality assessment
* GPU-free real-time object detection method for apron surveillance video based on quantized MobileNet-SSD, A
* Graph Convolutional Network-Based Image Matting Algorithm for Computer Vision Applications
* graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition, A
* Ground glass opacity detection and segmentation using CT images: An image statistics framework
* HessHist: A Hessian-matrix weighted histogram for image contrast enhancement
* Heterogeneous face detection based on multi-task cascaded convolutional neural network
* Hierarchical broad learning system for hyperspectral image classification
* High Resolution Representation-Based Siamese Network for Remote Sensing Image Change Detection
* high-performance insulators location scheme based on YOLOv4 deep learning network with GDIoU loss function, A
* High-quality reversible data hiding scheme using sorting and enhanced pairwise PEE
* HollowBox: An anchor-free UAV detection method
* Hybrid mapping algorithm based on 1-DCM and Lorenz
* hybrid method of detecting flame from video stream, A
* Hyperspectral image classification with deep 3D capsule network and Markov random field
* IAUFD: A 100k images dataset for automatic football image/video analysis
* Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning
* ILBPSDNet: Based on improved local binary pattern shallow deep convolutional neural network for character recognition
* image cipher system based on networked chaotic map with parameter q, An
* Image classification using convolutional neural network with wavelet domain inputs
* Image encryption algorithm based on cascaded chaotic map and improved Zigzag transform
* image enhancement algorithm of video surveillance scene based on deep learning, An
* Image enhancement via texture protection Retinex
* Image fragile watermarking algorithm based on deneighbourhood mapping
* Image haze removal based on rolling deep learning and Retinex theory
* Image quality enhancement using hybrid attention networks
* Image restoration via exponential scale mixture-based simultaneous sparse prior
* Image-level dataset synthesis with an end-to-end trainable framework
* IMG-forensics: Multimedia-enabled information hiding investigation using convolutional neural network
* Improved cross entropy loss for noisy labels in vision leaf disease classification
* improved dark channel defogging algorithm based on the HSI colour space, An
* Improved iteratively reweighted least squares algorithms for sparse recovery problem
* improved nonlocal means-based correction strategy for mixed noise removal, An
* improved picture-based prediction method of PM2.5 concentration, An
* improved point feature-based sparse stereo vision, An
* improved synthetic aperture radar-scale invariant feature transform algorithm for interferometric imaging radar altimeter image registration, An
* improved tongue image segmentation algorithm based on Deeplabv3+ framework, An
* Improving the performance of automotive vision-based applications under rainy conditions
* Improving visual multi-object tracking algorithm via integrating GM-PHD and correlation filter
* Inadequate dataset learning for major depressive disorder MRI semantic classification
* Inferior alveolar nerve canal segmentation by local features based neural network model
* Infrared and visible image fusion based on multi-channel convolutional neural network
* Infrared and visible image fusion for ship targets based on scale-aware feature decomposition
* Integrating deep learning and traditional image enhancement techniques for underwater image enhancement
* IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting
* Kernel correlation filter tracking strategy based on adaptive fusion response map
* LBP-based progressive feature aggregation network for low-light image enhancement
* Learning compact ConvNets through filter pruning based on the saliency of a feature map
* Learning interactive multi-object segmentation through appearance embedding and spatial attention
* Learning spatial self-attention information for visual tracking
* LESC: Superpixel cut-based local expansion for accurate stereo matching
* Lightweight single image deraining algorithm incorporating visual saliency
* Lightweight target detection algorithm based on improved YOLOv4
* local ternary pattern encoder-decoder neural network for dental image segmentation, The
* Low-light image haze removal with light segmentation and nonlinear image depth estimation
* MAM: A multipath attention mechanism for image recognition
* MAMask: Multi-feature aggregation instance segmentation with pyramid attention mechanism
* MCG&BA-Net: Retinal vessel segmentation using multiscale context gating and breakpoint attention
* MCRD-Net: An unsupervised dense network with multi-scale convolutional block attention for multi-focus image fusion
* Medical image segmentation using deep learning: A survey
* Metallic debossed characters industrial online non-segmentation identification based on improved multi-scale image fusion enhancement and deep neural network
* method of single-shot target detection with multi-scale feature fusion and feature enhancement, A
* method of underwater bridge structure damage detection method based on a lightweight deep convolutional network, A
* Metric of choosing the optimal parameter setting for edge aware filtering
* MFAUNet: Multiscale feature attentive U-Net for cardiac MRI structural segmentation
* Mirror Invariant Convolutional Neural Networks for Image Classification
* Mixed-attention-based regional soft partition network for vehicle reidentification
* MobileTrack: Siamese efficient mobile network for high-speed UAV tracking
* Morphological geodesic active contour algorithm for the segmentation of the histogram-equalized welding bead image edges
* MP2020: Visual quality assessment database for macro photography images
* MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
* multi-focus image fusion method based on multi-source joint layering and convolutional sparse representation, A
* Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos
* Multi-layer random walker image segmentation for overlapped cervical cells using probabilistic deep learning methods
* Multi-scale feature combination for person re-identification
* Multi-scale GAN with residual image learning for removing heterogeneous blur
* multi-scale learning method with dilated convolutional network for concrete surface cracks detection, A
* Multi-scale network for remote sensing segmentation
* Multi-scale single image dehazing based on the fusion of global and local features
* Multi-stage part-aware graph convolutional network for skeleton-based action recognition
* Multi-step implicit Adams predictor-corrector network for fire detection
* Multiple classifier system for remotely sensed data clustering
* Multiscale residual fusion network for image denoising
* Multiscale Spectral-Spatial Cross-Extraction Network for Hyperspectral Image Classification
* new fast estimating floor region based on image segmentation for smart rovers, A
* New flexible deterministic compressive measurement matrix based on finite Galois field
* New fully automatic approach for tissue identification in histopathological examinations using transfer learning
* new Hough transform operated in a bounded cartesian coordinate parameter space, A
* new image processing strategy for surface crack identification in building structures under non-uniform illumination, A
* NHNet: A non-local hierarchical network for image denoising
* Non-convex nonlocal adaptive tight frame image deblurring
* Novel and secure plaintext-related image encryption algorithm based on compressive sensing and tent-sine system
* novel cell structure-based disparity estimation for unsupervised stereo matching, A
* novel detail weighted histogram equalization method for brightness preserving image enhancement based on partial statistic and global mapping model, A
* novel deviation density peaks clustering algorithm and its applications of medical image segmentation, A
* novel hashing scheme via image feature map and 2D PCA, A
* novel image quality assessment method and coefficient of quality for digital solutions of colour blindness, A
* novel weighted total variation model for image denoising, A
* Open-set iris recognition based on deep learning
* Optimal 3D Convolutional Neural Network Based Lipreading Method, An
* OsaMOT: Occlusion and scale-aware multi-object tracking algorithm for low viewpoint
* Pansharpening scheme using spatial detail injection-based convolutional neural networks
* Pavement crack detection using non-local theory and iterative sampling
* PCAF-Net: A liver segmentation network based on deep learning
* Perceptual redundancy model for compression of screen content videos
* photo-based quality assessment model for the estimation of PM2.5 concentrations, A
* Polarimetric SAR image classification using binary coding-based polarimetric-morphological features
* Pyramidal dense attention networks for single image super-resolution
* Quality assessment for inspection images of power lines based on spatial and sharpness evaluation
* Quaternion-based improved cuckoo algorithm for colour UAV image edge detection
* RAG-Net: ResNet-50 attention gate network for accurate iris segmentation
* Re-EnGAN: Unsupervised image-to-image translation based on reused feature encoder in CycleGAN
* Real time detection of driver fatigue based on CNN-LSTM
* Real-time classification on oral ulcer images with residual network and image enhancement
* Real-time facial expression recognition based on iterative transfer learning and efficient attention network
* Real-world super-resolution of face-images from surveillance cameras
* Region-based two-stage MRI bone tissue segmentation of the knee joint
* regularised deep matrix factorised model of matrix completion for image restoration, A
* Reinforcement learning cropping method based on comprehensive feature and aesthetics assessment
* Reliable metrics-based linear regression model for multilevel privacy measurement of face instances
* Research on edge-guided disambiguation module for shadow detection
* Research on fatigue detection based on visual features
* Research on reversible image steganography of encrypted image based on image interpolation and difference histogram shift
* Reversible data hiding based on multi-predictor and adaptive expansion
* Reversible data hiding for JPEG images with a cascaded structure
* RISSNet: Retain low-light image details and improve the structural similarity net
* Road crack detection network under noise based on feature pyramid structure with feature enhancement (road crack detection under noise)
* Road infrared target detection with I-YOLO
* ROAM: Random layer mixup for semi-supervised learning in medical images
* Robust 3D brain segmentation in magnetic resonance image with weighted feature fusion
* Robust age estimation model using group-aware contrastive learning
* Robust face recognition for occluded real-world images using constrained probabilistic sparse network
* Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery
* Robust object detection under harsh autonomous-driving environments
* robust photo-based PM2.5 monitoring method by combining linear and non-linear learning, A
* role-entity based human activity recognition using inter-body features and temporal sequence memory, A
* saliency guided remote sensing image dehazing network model, A
* Salp swarm algorithm based on golden section and adaptive and its application in target tracking
* Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
* sample-proxy dual triplet loss function for object re-identification, A
* SAR image classification based on multi-feature fusion decision convolutional neural network
* scale-sensitive heatmap representation for multi-person pose estimation, A
* Scene classification for remote sensing images with self-attention augmented CNN
* Segmentation of lung airways based on deep learning methods
* Segmentation of ten fetal heart components with coarse-to-fine cascading and dynamic feature powering
* selective image encryption scheme using LICC hyperchaotic system, A
* Selective part-based correlation filter tracking algorithm with reinforcement learning
* Semantic and context features integration for robust object tracking
* Semantically guided self-supervised monocular depth estimation
* Semi-Supervised Breast Histopathological Image Classification with Self-Training Based on Non-Linear Distance Metric
* Semi-supervised image super-resolution with attention CycleGAN
* Single image dehazing using generative adversarial networks based on an attention mechanism
* Single image deraining using contrastive perceptual regularization
* Single image reflection removal through multi-scale gradient refinement
* Single infrared image super-resolution based on lightweight multi-path feature fusion network
* Single sample per person face recognition algorithm based on the robust prototype dictionary and robust variation dictionary construction
* single watermark based scheme for both protection and authentication of identities, A
* single-stage face detection and face recognition deep neural network based on feature pyramid and triplet loss, A
* SMDAF: A novel keypoint based method for copy-move forgery detection
* Sonar image quality evaluation using deep neural network
* Spaceborne pose determination based on image to 3D digital surface model matching
* Spatial and long-short temporal attention correlation filters for visual tracking
* Spotting micro-movements in image sequence by introducing intelligent cubic-LBP
* SREFBN: Enhanced feature block network for single-image super-resolution
* STDC-MA network for semantic segmentation
* stereo matching algorithm based on an improved adaptive support window, The
* Structure-aware multiple salient region detection and localization for autonomous robotic manipulation
* Sub-region non-local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics
* Superpixel segmentation algorithm based on local network modularity increment
* Supervised dual tight frame learning with deep thresholding network for phase retrieval
* survey on methods, datasets and implementations for scene text spotting, A
* Taming mode collapse in generative adversarial networks using cooperative realness discriminators
* Target tracking method based on interference detection
* thorough review of models, evaluation metrics, and datasets on image captioning, A
* Tomato leaf disease classification by exploiting transfer learning and feature concatenation
* Trident-YOLO: Improving the precision and speed of mobile device object detection
* Two-dimensional DFT with sliding and hopping windows for edge map generation of road images
* two-scaled fully convolutional learning network for road detection, A
* two-stage method for single image de-raining based on attention smoothed dilated network, A
* Two-stage progressive residual learning network for multi-focus image fusion
* Two-stage single image dehazing network using swin-transformer
* Understanding and modeling finger vascular pattern imaging
* Underwater image enhancement via LBP-based attention residual network
* Underwater image enhancement with latent consistency learning-based color transfer
* Unmanned aerial vehicles object detection based on image haze removal under sea fog conditions
* Unsupervised anomaly detection via dual transformation-aware embeddings
* Unsupervised person re-identification by part-compensated soft multi-label learning
* Variational joint self-attention for image captioning
* variational level set model with kernel metric induced local image fitting energy, A
* Video-based action recognition using spurious-3D residual attention networks
* Vision-oriented algorithm for fast decision in 3D video coding
* Visual perception and local features for foreground-background segmentation
* Visual question answering with gated relation-aware auxiliary
* Weakly supervised building semantic segmentation via superpixel-CRF with initial deep seeds guiding
* weighted multi-source domain adaptation approach for surface defect detection, A
* X-Ray medical image super-resolution via self-organization neural networks and geometric directional gradient
* Yeast cell detection in color microscopic images using ROC-optimized decoloring and segmentation
303 for IET-IPR(16)

IET-IPR(17) * *Special Issue Retraction: Guest Editorial: Evolutionary Computation for Image Processing
* 3D craniofacial reconstruction framework using elastic surface deformation based on automatic landmark positioning
* 3D Graph Convolutional Networks Model for 2D Skeleton-Based Human Action Recognition, A
* 3D zebrafish tracking with topology association
* 4× Super-resolution of unsupervised CT images based on GAN
* AARN: Anchor-guided attention refinement network for inshore ship detection
* accurate shared bicycle detection network based on faster R-CNN, An
* Active contour model based on hybrid signed pressure force function
* active learning method based on result quality evaluation for printed circuit board computed tomography image segmentation, An
* Adaptive bistable stochastic resonance based blind watermark extraction in discrete cosine transform domain
* adaptive cross-scale transformer based on graph signal processing for person re-identification, An
* adaptive enhancement method based on stochastic parallel gradient descent of glioma image, An
* Adaptive fractional differential algorithm for image edge enhancement and texture preserve using fuzzy sets
* Adaptive learning Unet-based adversarial network with CNN and transformer for segmentation of hard exudates in diabetes retinopathy
* Aircraft tracking in aerial videos based on fused RetinaNet and low-score detection classification
* Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease
* Application of multi-party computation and error correction with image enhancement and convolution neural networks based on cloud computing
* Apron surveillance video coding based on compositing virtual reference frame with object library
* ARDA-UNIT recurrent dense self-attention block with adaptive feature fusion for unpaired (unsupervised) image-to-image translation
* Asymmetric cost aggregation network for efficient stereo matching
* Attention-based hierarchical pyramid feature fusion structure for efficient face recognition
* Automatic facial expression recognition combining texture and shape features from prominent facial regions
* automatic plant leaf stoma detection method based on YOLOv5, An
* BESRGAN: Boundary equilibrium face super-resolution generative adversarial networks
* Bi-level deep mutual learning assisted multi-task network for occluded person re-identification
* Bilateral association tracking with parzen window density estimation
* Brain tumour detection in magnetic resonance imaging using Levenberg-Marquardt backpropagation neural network
* Cascaded face super-resolution with shape and identity priors
* CFNet: Head detection network based on multi-layer feature fusion and attention mechanism
* Cformer: An underwater image enhancement hybrid network combining convolution and transformer
* Classification Algorithm Based on Improved Meta Learning and Transfer Learning for Few-Shot Medical Images, A
* CMLocate: A cross-modal automatic visual geo-localization framework for a natural environment without GNSS information
* CNN with noise inclined module and denoise framework for hyperspectral image classification, A
* Coarse trimap expansion based on one-class classification for image matting
* CoGAN: Cooperatively trained conditional and unconditional GAN for person image generation
* Complex artefact suppression for sparse reconstruction based on compensation approach in X-ray computed tomography
* Compression artifact reduction of low bit-rate videos via deep neural networks using self-similarity prior
* Compressive sensing reconstruction of hyperspectral images based on codec space-spectrum joint dense residual network
* Context-aware Siamese network for object tracking
* Contextual information extraction in brain tumour segmentation
* Continuous learning deraining network based on residual FFT convolution and contextual transformer module
* Contribution of neural networks in image steganography, watermarking and encryption
* coordinate attention enhanced swin transformer for handwriting recognition of Parkinson's disease, A
* court line extraction algorithm for badminton tournament videos with horizontal line projection learning, A
* Cross-class pest and disease vegetation detection based on small sample registration
* CrossFormer: Multi-scale cross-attention for polyp segmentation
* CSIT: Channel Spatial Integrated Transformer for human pose estimation
* Cuboid-Net: A multi-branch convolutional neural network for joint space-time video super resolution
* Dark light enhancement for dark scene urban object recognition
* DCA-based sparse coding for video summarization with MCP, A
* DCACorrCapsNet: A deep channel-attention correlative capsule network for COVID-19 detection based on multi-source medical images
* DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection
* deep image segmentation-based method for stitching ancient-book images without an overlapping region, A
* Deep learning-based COVID-19 diagnosis using CT scans with laboratory and physiological parameters
* deep learning-based framework for fast generation of photorealistic hair animations, A
* Deep learning-based panoptic segmentation: Recent advances and perspectives
* Deep MR parametric imaging with the learned L+S model and attention mechanism
* Deep side group sparse coding network for image denoising
* Deep-sea image stitching: Using multi-channel fusion and improved AKAZE
* Deeply supervised vestibule segmentation network for CT images with global context-aware pyramid feature extraction
* Dense video captioning based on local attention
* DenseGCN: A multi-level and multi-temporal graph convolutional network for action recognition
* Depth-aware lightweight network for RGB-D salient object detection
* Detection and location of microaneurysms in fundus images based on improved YOLOv4 with IFCM
* DGC-UWnet: Underwater image enhancement based on computation-efficient convolution and channel shuffle
* DLSANet: Facial expression recognition with double-code LBP-layer spatial-attention network
* DMAGNet: Dual-path multi-scale attention guided network for medical image segmentation
* domain translation network with contrastive constraint for unpaired motion image deblurring, A
* DS-Net: Dual supervision neural network for image manipulation localization
* DTFA: Adversarial attack with discrete cosine transform noise and target features on deep neural networks
* Dual- and triple-stream RESUNET/UNET architectures for multi-modal liver segmentation
* Dual-attention global domain adaptation for mariculture image enhancement
* Dynamic convolutional capsule network for In-loop filtering in HEVC video codec
* Dynamically adaptive adjustment loss function biased towards few-class learning
* EDAfuse: A encoder-decoder with atrous spatial pyramid network for infrared and visible image fusion
* edge thinning algorithm based on newly defined single-pixel edge patterns, An
* effective model for the iris regional characteristics and classification using deep learning alex network, An
* Effectiveness of specularity removal from hyperspectral images in the colour spectral measurement of wool fibres
* efficient anchor-free method for pig detection, An
* efficient deep multi-task learning structure for COVID-19 disease, An
* efficient hyperspectral image classification method for limited training data, An
* end-to-end steel surface defect detection approach via Swin transformer, An
* Enhanced three-dimensional model reconstruction based on local ternary pattern-guided fusion of multi-exposure images
* Explore the potential of deep learning and hyperchaotic map in the meaningful visual image encryption scheme
* Facial expression recognition based on improved residual network
* FAFEnet: A fast and accurate model for automatic license plate detection and recognition
* FAFNet: Fully aligned fusion network for RGBD semantic segmentation based on hierarchical semantic flows
* Fall detection based on OpenPose and MobileNetV2 network
* FARNet: Fragmented affinity reasoning network of text instances for arbitrary shape text detection
* Fast additive half-quadratic iterative minimization for lp-lq image smoothing
* Fast and robust star detection algorithm based on the dyadic wavelet transform
* Fast intra partition and mode prediction for equirectangular projection 360-degree video coding
* FCUnet: Refined remote sensing image segmentation method based on a fuzzy deep learning conditional random field network
* Feature matching of remote-sensing images based on bilateral local-global structure consistency
* FIMF score-CAM: Fast score-CAM based on local multi-feature integration for visual interpretation of CNNS
* Finger vein recognition based on lightweight convolutional attention model
* FNRegion: A fast NAM-based region extraction algorithm
* Four-branch Siamese network based on sketch-specific data augmentation for sketch recognition
* FPIseg: Iterative segmentation network based on feature pyramid for few-shot segmentation
* FRDet: Few-shot object detection via feature reconstruction
* Full-scale attention network for automated organ segmentation on head and neck CT and MR images
* Fused pyramid attention network for single image super-resolution
* fuzzy rule-based system with decision tree for breast cancer detection, A
* GAGCN: Generative adversarial graph convolutional network for non-homogeneous texture extension synthesis
* generative adversarial network model fused with a self-attention mechanism for the super-resolution reconstruction of ancient murals, A
* Geo-information mapping improves Canny edge detection method
* Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions
* Geometric correction code-based robust image watermarking
* Gesture recognition algorithm based on multi-scale feature fusion in RGB-D images
* Gesture recognition algorithm based on multi-scale feature fusion in RGB-D images
* GIGAN: Self-supervised GAN for generating the invisible using cycle transformation and conditional normalization
* Global weighted average pooling network with multilevel feature fusion for weakly supervised brain tumor segmentation
* GOMT: Multispectral video tracking based on genetic optimization and multi-features integration
* graph-based edge attention gate medical image segmentation method, A
* GSGAN: Learning controllable geospatial images generation
* Hamate classification method based on feature-enhanced residual network and probabilistic joint judgment
* high-performance and lightweight framework for real-time facial expression recognition, A
* Human elbow flexion behaviour recognition based on posture estimation in complex scenes
* Human stability assessment and fall detection based on dynamic descriptors
* Hybrid domain digital watermarking scheme based on improved differential evolution algorithm and singular value block embedding
* Hybrid network model based on 3D convolutional neural network and scalable graph convolutional network for hyperspectral image classification
* Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation
* I-CenterNet: Road infrared target detection based on improved CenterNet
* Ice accretion thickness prediction using flash infrared thermal imaging and BP neural networks
* Image encryption algorithm based on 2D-CLICM chaotic system
* image encryption algorithm based on cascade chaotic map and DNA coding, An
* Image encryption based on fractional discrete cosine transform and DWT with interplane arrangements in dost domain
* image layered scrambling encryption algorithm based on a novel discrete chaotic map, An
* Image segmentation by selecting eigenvectors based on extended information entropy
* Image segmentation technology based on transformer in medical decision-making system
* Image super-resolution based on self-similarity generative adversarial networks
* Image-based fall detection in bus compartment scene
* Improved BlendMask: Nuclei instance segmentation for medical microscopy images
* improved generative adversarial network for remote sensing image super-resolution, An
* Improved LSB image steganography with high imperceptibility based on cover-stego matching
* Improved SwinTrack single target tracking algorithm based on spatio-temporal feature fusion
* Improved wavelet prediction superresolution reconstruction based on U-Net
* Improving multi-object tracking by full occlusion handle and adaptive feature fusion
* Independency-enhancing adversarial active learning
* Industrial anomaly detection with multiscale autoencoder and deep feature extractor-based neural network
* Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten-p norm minimization
* Integration of lightweight cryptography and watermarking with compression for high speed and reliable communication of digital images in IoT
* Integration of the latent variable knowledge into deep image captioning with Bayesian modeling
* Investigation on the blurred image restoration based on brain-inspired model
* Joint transformer progressive self-calibration network for low light enhancement
* Key point detection method for fish size measurement based on deep learning
* Latent low-rank representation sparse regression model with symmetric constraint for unsupervised feature selection
* Learnable interpolation and extrapolation network for fuzzy pulmonary lobe segmentation
* Learning global image representation with generalized-mean pooling and smoothed average precision for large-scale CBIR
* Learning the model update with local trusted templates for visual tracking
* LGANet: Local and global attention are both you need for action recognition
* light-weight stereo matching network based on multi-scale features fusion and robust disparity refinement, A
* lightweight and stochastic depth residual attention network for remote sensing scene classification, A
* Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation
* lightweight bus passenger detection model based on YOLOv5, A
* lightweight deep learning model for real-time face recognition, A
* Lightweight image matting algorithm based on deep learning
* lightweight image splicing tampering localization method based on MobileNetV2 and SRM, A
* lightweight method for face expression recognition based on improved MobileNetV3, A
* lightweight network of near cotton-coloured impurity detection method in raw cotton based on weighted feature fusion, A
* LiteDEKR: End-to-end lite 2D human pose estimation network
* Low-Light Image Enhancement for Infrared and Visible Image Fusion
* Low-light image enhancement via span correction function and discrete mapping model
* Lung segmentation in chest X-ray image using multi-interaction feature fusion network
* LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images
* Malignant melanoma dermoscopy image classification method based on multi-modal medical features
* Markov random field based method for removing invalid unwrapping phase points in 3D reconstruction, A
* Mask-guided image person removal with data synthesis
* MaskDis R-CNN: An instance segmentation algorithm with adversarial network for herd pigs
* MCNN: Conditional focus probability learning to multi-focus image fusion via mutually coupled neural network
* MDR-Net: Multiscale dense residual networks for liver image segmentation
* MDSC-Net: A multi-scale depthwise separable convolutional neural network for skin lesion segmentation
* Medical image blind super-resolution based on improved degradation process
* method for extracting interference striations in lofargram based on decomposition and clustering, A
* MFFN: Multi-Path Feedback Fusion Network for Lightweight Image Super Resolution
* MMDA: Multi-person marginal distribution awareness for monocular 3D pose estimation
* MMFuse: A multi-scale infrared and visible images fusion algorithm based on morphological reconstruction and membership filtering
* Mobile phone screen surface scratch detection based on optimized YOLOv5 model (OYm)
* modified 3D EfficientNet for the classification of Alzheimer's disease using structural magnetic resonance images, A
* modified eye-in-hand stereo visual control for grasping unknown objects via Scara robot, A
* Motion deblurring algorithm for wind power inspection images based on Ghostnet and SE attention mechanism
* Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels
* MPGI-Terminal defect detection based on M-FRCNN
* MSFRNet: Two-Stream Deep Forgery Detector via Multi-Scale Feature Extraction
* Multi-cues underwater image restoration algorithm combined with light field technology
* Multi-domain autonomous driving dataset: Towards enhancing the generalization of the convolutional neural networks in new environments
* Multi-feature fusion attention network for single image super-resolution
* Multi-feature fusion-based strabismus detection for children
* Multi-modal fusion method for human action recognition based on IALC
* Multi-modal object detection via transformer network
* Multi-scale feature fusion pyramid attention network for single image dehazing
* Multi-scale homography estimation based on dual feature aggregation transformer
* Multi-similarity based hyperrelation network for few-shot segmentation
* Multi-source heterogeneous iris segmentation method based on lightweight convolutional neural network
* multi-view image fusion algorithm for industrial weld, A
* Multilevel histogram shape-based image watermarking invariant to geometric attacks
* Multilevel receptive field expansion network for small object detection
* Multimodal cooperative self-attention network for action recognition
* multimodal feature fusion image dehazing method with scene depth prior, A
* Multimodal predictive classification of Alzheimer's disease based on attention-combined fusion network: Integrated neuroimaging modalities and medical examination data
* multiple gated boosting network for multi-organ medical image segmentation, A
* Multiscale anchor box and optimized classification with faster R-CNN for object detection
* Multiscale and multidirection depth map super resolution with semantic inference
* Network adaptation for color image semantic segmentation
* Neural surface reconstruction with saliency-guided sampling in multi-view
* new adaptive window-based guided filtering and interpolation for polarization image demosaicing, A
* non-invertible transformation based technique to protect a fingerprint template, A
* Non-local neural networks combined with local importance-based pooling for space-time video super-resolution
* Non-negative low-rank adaptive preserving sparse matrix regression model for supervised image feature selection and classification
* Nonlinear kernel based feature maps for blur-sensitive unsharp masking of JPEG images
* novel blind tamper detection and localization scheme for multiple faces in digital images, A
* novel computer vision-based approach for monitoring safety harness use in construction, A
* novel decoder based on Bayesian rules for task-driven object segmentation, A
* novel gamut expansion method based on combined global-local mapping for sRGB-to-ProPhoto conversion, A
* novel head network and group normalisation help track more accurately, A
* novel shape classification method using 1-D convolutional neural networks, A
* novel smoke detection algorithm based on improved mixed Gaussian and YOLOv5 for textile workshop environments, A
* Object detection network based on dense dilated encoder net
* optimal triangulation method is not really optimal, The
* Optimization algorithm for low-light image enhancement based on Retinex theory
* Pain estimation with integrating global-wise and region-wise convolutional networks
* Parallel matters: Efficient polyp segmentation with parallel structured feature augmentation modules
* Pose-driven human activity anomaly detection in a CCTV-like environment
* Pose-guided adversarial video prediction for image-to-video person re-identification
* Predicting visual difference maps for computer-generated images by integrating human visual system model and deep learning
* Prediction of breast cancer metastasis by deep learning pathology
* Progressive dilation dense residual fusion network for single-image deraining
* progressive segmentation with weight contrast label enhancement for weakly supervised video salient object detection, A
* Provable image encryption scheme via trapdoor permutation
* Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise
* pseudo-colour enhancement algorithm for high-bit RAW greyscale image of X-ray film displaying on low-bit monitors, A
* Pyramided and optimized blurred shape model for plant leaf classification
* QTMT-LNN: A fast intra CU partition using lightweight neural network for 360-degree video coding on VVC
* quantitative evaluation of lung nodule spiculation based on image enhancement, A
* Quantitative feature classification for breast ultrasound images using improved naive bayes
* Real-time face perception based encoding strategy optimization method for UHD videos
* Real-time seed sorting system via 2D information entropy-based CNN pruning and TensorRt acceleration
* Real-time video anomaly detection for smart surveillance
* Recent progress in image denoising: A training strategy perspective
* Recognition of pear leaf disease under complex background based on DBPNet and modified mobilenetV2
* Recovery performance improvement of image compressive sensing using complex-valued Vandermonde matrix
* Research on identification and classification of grassland forage based on deep learning and attention mechanisms
* Research on neural processes with multiple latent variables
* Research on seamless image stitching based on fast marching method
* Research on the application of body posture action feature extraction and recognition comparison
* Residual dense collaborative network for salient object detection
* Retinex-inspired contrast stretch and detail boosting for lowlight image enhancement
* Review of surface defect detection of steel products based on machine vision
* Rich-scale feature fusion network for salient object detection
* River boundary detection and autonomous cruise for unmanned surface vehicles
* robust and clinically applicable deep learning model for early detection of Alzheimer's, A
* Robust facial landmark detection by probability-guided hourglass network
* Robust image compression-encryption via scrambled block bernoulli sampling with diffusion noise
* Robust registration of aerial and close-range photogrammetric point clouds using visual context features and scale consistency
* RRN: A differential private approach to preserve privacy in image classification
* SA-BiSeNet: Swap attention bilateral segmentation network for real-time inland waterways segmentation
* SACNet: Shuffling atrous convolutional U-Net for medical image segmentation
* Salient object detection based on edge-interior feature fusion
* Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
* Salt-and-pepper denoising method for colour images based on tensor low-rank prior and implicit regularization
* SaTransformer: Semantic-aware transformer for breast cancer classification and segmentation
* screen-shooting resilient document image watermarking scheme using deep neural network, A
* SDAUNet: A simple dual attention mechanism UNet for mixed noise removal
* SDNet: Image-based sonar detection network for multi-scale objects
* Segmenting lung parenchyma from CT images with gray correlation-based clustering
* Self-supervised depth completion with multi-view geometric constraints
* Semantic-guided fusion for multiple object tracking and RGB-T tracking
* Semi-supervised learning dehazing algorithm based on the OSV model
* Semi-Supervised Learning for ABUS Tumor Detection Using Deep Learning Methodxo
* serial attention module-based deep convolutional neural network for mixed Gaussian-impulse removal, A
* SFTN: Fast object detection for aerial images
* Single image super-resolution based on sparse representation using edge-preserving regularization and a low-rank constraint
* Single-image snow removal algorithm based on generative adversarial networks
* Single-image super-resolution using lightweight transformer-convolutional neural network hybrid model
* Small insulator target detection based on multi-feature fusion
* Small object detection based on hierarchical attention mechanism and multi-scale separable detection
* SNENet: An adaptive stego noise extraction network using parallel dilated convolution for JPEG image steganalysis
* Special Issue Retraction: Combined mixed Gaussian model with pattern recognition in the automatic diagnosis of Alzheimer's disease
* Special Issue Retraction: Convolutional neural network based on differential privacy in exponential attenuation mode for image classification
* Special Issue Retraction: Improved artificial bee colony algorithm with opposition-based learning
* Special Issue Retraction: Innovative approach for multimodal fusion recognition based feature extraction using band-limited phase-only correlation and discrete orthonormal Stockwell transform
* Special Issue Retraction: Jointly network image processing: multi-task image semantic segmentation of indoor scene based on CNN
* Special Issue Retraction: KSSD: Single-stage multi-object detection algorithm with higher accuracy
* Special Issue Retraction: Research on image sharpening algorithm in weak illumination environment
* Special Issue Retraction: Research on measurement and energy efficiency improvement of flat panel display based on industrial control
* SRI3D: Two-stream inflated 3D ConvNet based on sparse regularization for action recognition
* SS-Norm: Spectral-spatial normalization for single-domain generalization with application to retinal vessel segmentation
* SSTNet: Saliency sparse transformers network with tokenized dilation for salient object detection
* survey on end-to-end point cloud learning, A
* Synchronization of Boolean networks with chaos-driving and its application in image cryptosystem
* Synthetic aperture radar image despeckling using convolutional neural networks in wavelet domain
* Target region extraction and segmentation algorithm for reflective tomography Lidar image
* Task-Oriented Feature Hallucination for Few-Shot Image Classification
* Template matching via bipartite graph and graph attention mechanism
* Three-stream RGB-D salient object detection network based on cross-level and cross-modal dual-attention fusion
* TLWSR: Weakly supervised real-world scene text image super-resolution using text label
* Toward cross-domain object detection in artwork images using improved YoloV5 and XGBoosting
* transfer learning-based system for grading breast invasive ductal carcinoma, A
* TransMVU: Multi-view 2D U-Nets with transformer for brain tumour segmentation
* TranSpeckle: An edge-protected transformer for medical ultrasound image despeckling
* Trinity-Yolo: High-precision logo detection in the real world
* TTN-FCN: A Tangut character classification framework by tree tensor network and fully connected neural network
* two-stage hue-preserving and saturation improvement color image enhancement algorithm without gamut problem, A
* Two-stage learning framework for single image deraining
* Two-stage local attention network for salient object detection in remote sensing images
* Two-stream spatiotemporal networks for skeleton action recognition
* UHA-CycleGAN: Unpaired hybrid attention network based on CycleGAN for terahertz image super-resolution
* Uncertainty-aware iterative learning for noisy-labeled medical image segmentation
* Underwater Image Enhancement Using a Mixed Generative Adversarial Network
* Underwater image enhancement via a channel-wise transmission estimation network
* Unsupervised deep homography with multi-scale global attention
* unsupervised multi-focus image fusion method based on Transformer and U-Net, An
* Video abnormal behaviour detection based on pseudo-3D encoder and multi-cascade memory mechanism
* video drowning detection device based on underwater computer vision, A
* Video frame interpolation via residual blocks and feature pyramid networks
* Visible part prediction and temporal calibration for pedestrian detection
* Water-surface infrared small object detection based on spatial feature weighting and class balancing method
* WaterSegformer: A lightweight model for water body information extraction from remote sensing images
* WCE-DCGAN: A data augmentation method based on wireless capsule endoscopy images for gastrointestinal disease detection
* WD-UNeXt: Weight loss function and dropout U-Net with ConvNeXt for automatic segmentation of few shot brain gliomas
* Weakly supervised skin lesion segmentation based on spot-seeds guided optimal regions
* Xanthoceras sorbifolium crack segmentation method based on an improved level set, A
* YOLOv4-dense: A smaller and faster YOLOv4 for real-time edge-device based object detection in traffic scene
323 for IET-IPR(17)

IET-IPR(18) * 2D compressed sensing of encrypted images based on complex-valued measurement matrix
* Accurately 3D neuron localization using 2D conv-LSTM super-resolution segmentation network
* ACD-YOLO: Improved YOLOv5-based method for steel surface defects detection
* adaptive image compression algorithm based on joint clustering algorithm and deep learning, An
* Additive margin networks with adaptive feature recalibration and its applications in Brain Stroke CT Image classification
* ADFF: Adaptive de-morphing factor framework for restoring accomplice's facial image
* Blind motion deblurring using improved DeblurGAN
* Brain tumour segmentation of MR images based on custom attention mechanism with transfer-learning
* Bridge bottom crack detection and modeling based on faster R-CNN and BIM
* Category-related attention domain adaptation for one-stage cross-domain object detection
* CBAM-GAN-based method for super-resolution reconstruction of remote sensing image, A
* CMLocate: A cross-modal automatic visual geo-localization framework for a natural environment without GNSS information
* comparative study on deep feature selection methods for skin lesion classification, A
* CRNN-based method for Chinese ship license plate recognition, A
* Cross-modal fusion encoder via graph neural network for referring image segmentation
* CSFFNet: Lightweight cross-scale feature fusion network for salient object detection in remote sensing images
* Deep learning-based methods for detecting defects in cast iron parts and surfaces
* DeepFake detection against adversarial examples based on D-VAEGAN
* DeepRoadNet: A deep residual based segmentation network for road map detection from remote aerial image
* DenseNet-based feature weighting convolutional network recognition model and its application in industrial part classification, A
* DGW-YOLOv8: A small insulator target detection algorithm based on deformable attention backbone and WIoU loss function
* DTI registration algorithm based on spectral representation, A
* Dual-granularity feature fusion in visible-infrared person re-identification
* Dual-route synthetic-to-real adaption for single image dehazing
* dynamic alignment and illumination-aware convolution for shadow removal, A
* Dynamic estimator selection for double-bit-range estimation in VVC CABAC entropy coding
* Effective fusion module with dilation convolution for monocular panoramic depth estimate
* EfficientUNet: An efficient solution for breast tumour segmentation in ultrasound images
* Entropy-guided contrastive learning for semi-supervised medical image segmentation
* feasibility analysis of image approximation with image quality assessments, A
* Foggy image restoration using deep sub-pixel reconstruction network
* Forest nighttime image enhancement based on improved SCI light estimation and reflection optimization
* FSSDD: Few-shot steel defect detection based on multi-scale semantic enhancement representation and mask category information mapping
* fusion-attention swin transformer for cardiac MRI image segmentation, A
* Fuzzy C-means clustering algorithm based on superpixel merging and multi-feature adaptive fusion measurement
* GAMNet: Global attention via multi-scale context for depth estimation algorithm and application
* High performance image steganography integrating IWT and Hamming code within secret sharing
* HQ-I2IT: Redesign the optimization scheme to improve image quality in CycleGAN-based image translation systems
* Hybrid attention mechanism of feature fusion for medical image segmentation
* Image encryption algorithm based on hyperchaos and DNA coding
* Image encryption algorithm based on hyperchaos and DNA coding
* image inpainting method based on generative adversarial networks inversion and autoencoder, An
* Image inpainting network based on multi-level attention mechanism
* Image preprocessing-based ensemble deep learning classification of diabetic retinopathy
* Image representation and reconstruction by compositing Gaussian ellipses
* Image restoration with group sparse representation and low-rank group residual learning
* Improvement of continuous emotion recognition of temporal convolutional networks with incomplete labels
* intelligent remote sensing image quality inspection system, An
* inverse halftoning method based on supervised deep convolutional neural network, An
* Learning adaptive motion search for fast versatile video coding in visual surveillance systems
* Learning filter selection policies for interpretable image denoising in parametrised action space
* lightweight license plate detection algorithm based on deep learning, A
* LWE-based verifiable essential secret image sharing scheme ((t,s,k,n)-VESIS)
* MCDC-Net: Multi-scale forgery image detection network based on central difference convolution
* MEHW-SVM multi-kernel approach for improved brain tumour classification
* MSCAReg-Net: Multi-scale complexity-aware convolutional neural network for deformable image registration
* Multi-source to multi-target domain adaptation method based on similarity measurement
* Multiview feature co-factorization based dictionary selection for video summarization
* Natureness-preserving tone mapping operator based on improved guided filter and adaptive Gamma curve
* new hierarchical algorithm based on CapsGAN for imbalanced image classification, A
* Nonparametric point cloud filter
* Overcomplete graph convolutional denoising autoencoder for noisy skeleton action recognition
* pedestrian trajectory prediction method based on improved LSTM network, A
* Pix2PixSSR: Spatial super-resolution synthesis and visualization for time-varying volumetric data
* review of intelligent ship marine object detection based on RGB camera, A
* Road damage detection with bounding box and generative adversarial networks based augmentation methods
* robust watermarking algorithm against JPEG compression based on multiscale autoencoder, A
* robust watermarking approach against high-density salt and pepper noise (RWSPN) to enhance medical image security, A
* SE-Swin: An improved Swin-Transfomer network of self-ensemble feature extraction framework for image retrieval
* Segmentation of nucleus based on dynamic convolution and deep features of stain distribution
* self-supervised causal feature reinforcement learning method for non-invasive hemoglobin prediction, A
* Ship detection based on YOLO algorithm for visible images
* Single image dehazing via decomposition and enhancement
* Single Image Denoising Based on Adaptive Fusion Dual-Domain Network
* Single-image deraining algorithm based on multi-stage recurrent network
* Textile defect detection based on multi-proportion spatial attention mechanism and channel memory feature fusion network
* TRACL: Temporal reconstruction and adaptive consistency loss for semi-supervised video semantic segmentation
* Triple-loss driven generative adversarial network for pansharpening
* TSDet: A new method for traffic sign detection based on YOLOv5-SwinT
* Two-stage coarse-to-fine method for pathological images in medical decision-making systems
* weakly supervised learning pipeline for profiled fibre inspection, A
81 for IET-IPR(18)

IET-IPR(2) * Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information
* Colour image compression based on the measure of just noticeable colour difference
* Complexity analysis of morphological area openings and closings with set union
* Compression of multi-polarimetric SAR intensity images based on 3D-matrix transform
* Discrete image modelling for piecewise constant segmentation by artificial neural networks
* Editorial: Visual information engineering
* Efficient algorithm for very low bit rate embedded image coding
* Efficient compression algorithm for hyperspectral images based on correlation coefficients adaptive 3D zerotree coding
* Fast centre-surround contrast modification
* Fast intra-prediction with near pixel correlation approach for H.264/AVC system
* Fast searching algorithm for vector quantisation based on features of vector and subvector
* Flattest histogram specification with accurate brightness preservation
* Flexible prediction block decomposition with multi-channel filter banks for video coding
* Fractal indexing with the joint statistical properties and its application in texture image retrieval
* Image-based facial recognition in the domain of high-order polynomial one-way mapping
* Influence of downsampling filter characteristics on compression performance in wavelet-based scalable video coding
* Low-delay video control in a personal area network for augmented reality
* Moving cast shadow detection by exploiting multiple cues
* Near-computation-free image encoding scheme based on adaptive decimation
* New image matching technique based on hyper-vectorisation of grey level sliced binary image
* Optical coherence tomography used for security and fingerprint-sensing applications
* Recursive algorithm, architectures and FPGA implementation of the two-dimensional discrete cosine transform
* Residue-free video coding with pixelwise adaptive spatio-temporal prediction
* SimBIL: appearance-based simulation of burst-illumination laser sequences
* Smoothing transforms for wavelet approximation of piecewise smooth functions
* Spatial-temporal content-adaptive deinterlacing algorithm
* Statistical, DCT and vector quantisation-based video codec
* Total variation regularisation of images corrupted by non-Gaussian noise using a quasi-Newton method
* Video texture modelling and synthesis using fractal processes
* Wavelet-based image denoising with the normal inverse Gaussian prior and linear MMSE estimator
30 for IET-IPR(2)

IET-IPR(3) * Adaptive deblocking filter for transform domain Wyner-Ziv video coding
* Adaptive rate control for motion JPEG2000
* Comments on 'new family of lapped biorthogonal transform via lifting steps'
* Compressed image reproduction based on block decomposition
* Computation of Zernike moments in improved polar configuration
* Contrast enhancement and phase-sensitive boundary detection in ultrasonic speckle using bessel spatial filters
* Distance measures for reduced ordering-based vector filters
* effective calibration procedure for correction of parallax unmatched image pairs, An
* Enhanced reconstruction algorithm for unidirectional distributed video coding
* Fast video shot boundary detection framework employing pre-processing techniques
* Histogram-based reversible data hiding for vector quantisation-compressed images
* Image colourisation using graph-based semi-supervised learning
* Image denoising using 2-D separable oversampled DFT modulated filter banks
* Improved parabolic prediction-based fractional search for H.264/AVC video coding
* Incremental rate control for H.264/AVC video compression
* Motion vector refinement in a Wyner-Ziv to H.264 transcoder for mobile telephony
* Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means
* Multi-direction search algorithm for block motion estimation in H.264/AVC
* new steganographic scheme based on vector quantisation and search-order coding, A
* Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models
* Quad-splitting algorithm for a window query on a Hilbert curve
* Rate control algorithm based on intra-picture complexity for H.264/AVC
* Real-time implementation of order-statistics-based directional filters
* Real-time video object segmentation in H.264 compressed domain
* Reduction of discrete cosine transform/ quantisation/inverse quantisation/inverse discrete cosine transform computational complexity in H.264 video encoding by using an efficient prediction algorithm
* Robust and transparent watermarking scheme for colour images
* Spatially adaptive thresholding in wavelet domain for despeckling of ultrasound images
* Special issue on distributed video coding
* Spectral sensitivity design for maximum colour separation in artificial colour systems
* Transform-domain distributed video coding with rate-distortion-based adaptive quantisation
* Typhoon cloud image enhancement and reducing speckle with genetic algorithm in stationary wavelet domain
31 for IET-IPR(3)

IET-IPR(4) * Alternative minimisation algorithm for non-local total variational image deblurring
* Bezier curve-based generic shape encoder
* Computationally efficient algorithm for face super-resolution using (2D)2-PCA based prior
* Continuous wavelet transform for time-varying motion extraction
* Contrast-based fusion of noisy images using discrete wavelet transform
* Different non-linear diffusion filters combined with triangle method used for noise removal from polygonal shapes
* Effective algorithm for detecting various wipe patterns and discriminating wipe from object and camera motion
* Efficient motion vector recovery algorithm for H.264 using directional interpolation
* Efficient two-ass rate control scheme based on adjusting distribution of discrete cosine transform coefficients
* Error concealment for motion-compensated interpolation
* Fast colour space transformations using minimax approximations
* Fast motion estimation based on search range adjustment and matching point decimation
* Fast shape description based on a set of moments defined on the unit disc and inspired by three-dimensional spherical harmonics
* Field programmable gate array-ased haar classifier for accelerating face detection algorithm
* Fusion of intensity and inter-component chromatic difference for effective and robust colour edge detection
* Fusion of panchromatic and multispectral images using temporal fourier transform
* General form for obtaining discrete orthogonal moments
* Generalised Gaussian distribution to early detect zero quantised discrete cosine transform coefficients in H.264/AVC video encoding
* High-throughput low-cost VLSI architecture for AVC/H.264 CAVLC decoding
* Image denoising employing local mixture models in sparse domains
* Improving histogram-based reversible data hiding by interleaving predictions
* Lifting construction based on Bernstein bases and application in image compression
* Linear Gaussian blur evolution for detection of blurry images
* Lossless re-coding using integer linear programming for H.264/MPEG-4 AVC
* Mean shift clustering-based moving object segmentation in the H.264 compressed domain
* Multifocus image fusion based on redundant wavelet transform
* Multifocus image fusion using modified pulse coupled neural network for improved image quality
* Multihypothesis recursive video denoising based on separation of motion state
* Novel higher-order local autocorrelation-like feature extraction methodology for facial expression recognition
* Optimal bit allocation and efficient rate control for H64/AVCsed on general rate-istortion model and enhanced coding complexity measure
* Optimal bit allocation for subband video coding
* Pornographic image screening by integrating recognition module and image black-list/ white-list subsystem
* Rotation and gray-scale-invariant texture analysis using radon and differential radon transforms based hidden Markov models
* Segmentation of DNA microarray images using an adaptive graph-based method
* Series-parallel pipeline architecture for high-resolution catadioptric panoramic unwrapping
* Statistical motion learning for improved transform domain Wyner-Ziv video coding
* Tensor-based projection using ridge regression and its application to action classification
* Texture classification using invariant features of local textures
* Urban features recognition and extraction from very-high resolution multi-spectral satellite imagery: A micro-macro texture determination and integration framework
* Using diffusion equations for improving performance of wavelet-based image denoising techniques
* Visual voice activity detection with optical flow
* Wavelet transcoding in the block discrete cosine transform space
* Zero-block inter/intra mode decision for mpeg-2 to H.264/AVC inter P-frame transcoding
43 for IET-IPR(4)

IET-IPR(5) * Adaptive bandwidth mode detection algorithm
* Algorithm to decompose three-dimensional complex structures at the necks: Tested on snow structures
* Collision handling for free-form deformation embedded surface
* Colour harmonisation for images and videos via two-level graph cut
* Combined shape and feature-based video analysis and its application to non-rigid object tracking
* Combined significance MAP coding for still image compression
* Comparison of diverse approaches for synthetic aperture radar images pixel fusion under different precision registration
* Contour tracking using Gaussian particle filter
* Cross-point regions on multiple bit planes for lossless images compression
* Detection and amendment of shape distortions based on moment invariants for active shape models
* Detection of seagrass in optical shallow water with quickbird in the Xincun Bay, Hainan province, China
* Digital image processing approach using combined wavelet hidden markov model for well-being analysis of insulators
* Directional lifting wavelet and universal trellis-coded quantisation-based image coding algorithm and objective quality evaluation
* Edge detection of colour image based on quaternion fractional differential
* Editorial: Research advances in computer graphics and multimedia security
* Effective and efficient video text extraction using key text points
* Efficient block prediction-based coding of computer screen images with precise block classification
* Efficient fusion for infrared and visible images based on compressive sensing principle
* Efficient hierarchical matching algorithm for processing uncalibrated stereo vision images and its hardware architecture
* Efficient intra-mode decision algorithm for inter-frames in H.264/AVC video coding
* Efficient saliency detection based on gaussian models
* Evaluation of shape descriptors for shape-based image retrieval
* Extended scheme of Chan-Vese models for colour image segmentation
* Extensible electrical capacitance tomography system for gas-liquid two-phase flow
* Extracting local texture features for image-based coin recognition
* Fast arbitrary resizing of images in the discrete cosine transform domain
* Fast encoding method for vector quantisation of images using subvector characteristics and Hadamard transform
* Fast two-step histogram-based image segmentation
* Gradient-based edge detection for motion estimation in H.264/AVC
* H.264 video watermarking with secret image sharing
* H.264/AVC rate control with enhanced ratequantisation model and bit allocation
* High-speed image detector appliance in free space optical communication
* Human body and posture recognition system based on an improved thinning algorithm
* Hybrid video deinterlacing algorithm exploiting reverse motion estimation
* Hybrid wavelet denoising procedure of discontinuous surfaces
* Image enhancement by wavelet-based thresholding neural network with adaptive learning rate
* Image fusion technique based on non-subsampled contourlet transform and adaptive unit-fast-linking pulse-coupled neural network
* Image measurement of body position during side-approach transfer motion
* Image registration based on criteria of feature point pair mutual information
* Improved bi-dimensional empirical mode decomposition based on 2d-assisted signals: analysis and application
* Improvement of signal-to-noise ratio and image stability in magnetic inductance tomography by exploiting transient response analysis
* Iris segmentation for non-cooperative recognition systems
* Metropolis monte carlo for tomographic reconstruction with prior smoothness information
* Millimetre-wave radiometric imaging for concealed contraband detection on personnel
* Modelling the characteristics of material distributions in polarimetric images
* New method for the fusion of complementary information from infrared and visual images for object detection
* Noise gradient reduction based on morphological dual operators
* Reconstruction of flame temperature field with optical sectioning method
* Refining structural texture synthesis approach
* Relevance feedback approach for image retrieval combining support vector machines and adapted gaussian mixture models
* Removal of non-uniform complex and compound shadows from textured surfaces using adaptive directional smoothing and the thin plate model
* Reversible and high-capacity data hiding in medical images
* Robust adaptive directional lifting wavelet transform for image denoising
* Robust discrete wavelet-fan beam transforms-based colour image watermarking
* Rotation, scaling, and translation resilient watermarking for images
* Segmentation of noisy colour images using cauchy distribution in the complex wavelet domain
* Segmentation of textured cell images based on frequency analysis
* Semi-supervised maximum a posteriori probability segmentation of brain tissues from dual-echo magnetic resonance scans using incomplete training data
* Simplification of point-sampled geometry with feature preservation
* Switching median filter: Advanced Boundary Discriminative Noise Detection Algorithm
* Texture segmentation in the joint photographic expert group 2000 domain
* Thick-wall electrical capacitance tomography and its application in dense-phase pneumatic conveying under high pressure
* Three-dimensional image corrections for time-of-flight cameras
* Use of matrix polar decomposition for illumination-tolerant face recognition in discrete cosine transform domain
* Vector quantisation based on a quasi-binary search algorithm
* Video object pursuit by tri-tracker with on-line learning from positive and negative candidates
* Weld-pool image centroid algorithm for seam-tracking vision model in arc-welding process
67 for IET-IPR(5)

IET-IPR(6) * Acceleration of fractal image compression using fuzzy clustering and discrete-cosine-transform-based metric
* Accuracy and numerical stability of high-order polar harmonic transforms
* Active contour driven by region-scalable fitting and local Bhattacharyya distance energies for ultrasound image segmentation
* Adaptive and efficient colour quantisation based on a growing self-organising map
* Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising
* Adaptive noise removal approach for restoration of digital images corrupted by multimodal noise
* Adaptive object tracking algorithm based on eigenbasis space and compressive sampling
* Affine image registration guided by particle filter
* Approximately even partition algorithm for coding the Hilbert curve of arbitrary-sized image
* Automated extraction of three-dimensional cereal plant structures from two-dimensional orthographic images
* Automatic detection of exudates and optic disk in retinal images using curvelet transform
* Bayesian image denoising using two complementary discontinuity measures
* Bi-level image compression technique using neural networks
* Biogeography-based optimisation search algorithm for block matching motion estimation
* Blending-weight diffusion for image colourisation
* Characterisation framework for epileptic signals
* Characterisation of tool marks on cartridge cases by combining multiple images
* Classification of surveillance video objects using chaotic series
* Cognition-based parameter setting of non-linear filters using a face recognition system
* Colour correction pre-processing and chrominance reconstruction post-processing for multi-view video coding
* Colour demosaicking for complementary colour filter array using spectral and spatial correlations
* Colour demosaicking with directional filtering and weighting
* Colour image smoothing through a soft-switching mechanism using a graph model
* Colour image super-resolution using geometric grouplets
* Colour image watermarking for tamper proofing and pattern-based recovery
* Colour matching for soft proofing using a camera
* Colour texture classification from colour filter array images using various colour spaces
* Colourisation in Yxy colour space for purple fringing correction
* Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image
* Concentric-circle-based camera calibration
* Construction of a non-overlapping panoramic mosaic in wireless multimedia sensor networks
* Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram
* Contrast enhancement of dark images using stochastic resonance
* Copy detection pattern-based document protection for variable media
* Coronary angiogram video compression using wavelet-based contourlet transform and region-of-interest technique
* Database of human segmented images and its application in boundary detection
* Design of a context-adaptive variable length encoder for real-time video compression on reconfigurable platforms
* Dynamic threshold-based keyframe detection and its application in rate control
* Efficient computation of correlation coefficient using negative reference in template matching applications
* Efficient face recognition using frequency distribution curve matching
* Efficient inverse transform architectures for multi-standard video coding applications
* Efficient video coding using optimal compression plane and background modelling
* Enhanced approach for latent semantic indexing using wavelet transform
* Enhanced motion compensated deinterlacing algorithm
* Enhancing the predictive coding efficiency with control technologies for lossless compression of images
* Estimating Norway lobster abundance from deep-water videos: An automatic approach
* Estimating the surface and volume of laboratory-scale wildfire fuel using computer vision
* Fast algorithm for multiple-circle detection on images using learning automata
* Fast and robust skew estimation in document images through bilinear filtering model
* Fast computation of Zernike moments in polar coordinates
* Fast image interpolation using the bilateral filter
* Fast motion estimation approaches for surveillance type videos in an inter-frame JPEG 2000-based adaptive video coding system
* Fast super-resolution algorithms using one-dimensional patch-based training and directional interpolation
* Foreground segmentation for dynamic scenes with sudden illumination changes
* General method for edge detection based on the shear transform
* Graph cut-based binarisation of noisy check images
* Grey theory applied in non-subsampled Contourlet transform
* Hardware-software co-design architecture for joint photo expert graphic XR encoder
* Hidden Conditional Random Field-Based Soccer Video Events Detection
* Histogram ordering model-based fast motion estimation
* Human body segmentation based on independent component analysis with reference at two-scale superpixel
* Image composition by constraining responses of filters
* Image denoising and zooming under the linear minimum mean square-error estimation framework
* Image denoising based on the symmetric normal inverse Gaussian model and non-subsampled contourlet transform
* Image enhancement through complex conduction coefficient modifications
* Image matching using peak signal-to-noise ratio-based occlusion detection
* Image quality-augmented intramodal palmprint authentication
* Image restoration and decomposition using nonconvex non-smooth regularisation and negative Hilbert-Sobolev norm
* Image retrieval and classification using adaptive local binary patterns based on texture features
* Image segmentation based on multiresolution Markov random field with fuzzy constraint in wavelet domain
* Image segmentation on spherical coordinate representation of RGB colour space
* Image thresholding framework based on two-dimensional digital fractional integration and Legendre moments'
* Image zooming using directional cubic convolution interpolation
* Improved decision-based detail-preserving variational method for removal of random-valued impulse noise
* Improved kernel-based IRIS recognition system in the framework of support vector machine and hidden markov model
* Information integration for accurate foreground segmentation in complex scenes
* Integration of optical flow and dynamic programming for stereo matching
* Iterative three-dimensional rigid object pose estimation with contour correspondence
* Joint H.264/scalable video coding-multiple input multiple output rate control for wireless video applications
* Kolmogorov superposition theorem for image compression
* Laplacian coordinates-based motion transition for data-driven motion synthesis
* Learning-based super-resolution method with a combining of both global and local constraints
* Level set segmentation of intensity inhomogeneous images based on local linear approximation of difference image
* Level-base compounded logarithmic curve function for colour image enhancement
* Low-power context-based adaptive binary arithmetic encoder using an embedded cache
* Matching parameter estimation by using the radial basis function interpolation
* Modified two-dimensional Otsu image segmentation algorithm and fast realisation
* Multiobjective clustering with metaheuristic: Current trends and methods in image segmentation
* Multiple face detection algorithm using colour skin modelling
* Multiple weighted prediction models for video coding with brightness variations
* New adaptive steganographic method using least significant-bit substitution and pixel-value differencing
* New image quality metric using random projection
* Noise-resistant hemispherical basis for image-based relighting
* Optimal model-based complexity control for H.264 video encoding
* orthogonal polynomials transform-based variable block size adaptive vector quantisation for colour image coding, An
* Padua point interpolation and Lp-norm minimisation in colour-based image indexing and retrieval
* Partitioning of feature space by iterative classification for degraded document image binarisation
* Performance Evaluation Methodology for Document Image Dewarping Techniques
* Performance of reversible digital image watermarking under error-prone data communication: a simulation-based study
* Post-processing deblocking filter algorithm for various video decoders
* Practical photoquantity measurement using a camera
* Precise multi-level face detector for advanced analysis of facial images
* Quantitative quality assessment of stitched panoramic images
* Rate-distortion optimised quantisation for direct current coefficients of Wyner-Ziv frame in unidirectional distributed video coding
* Research on pornographic images recognition method based on visual words in a compressed domain
* Reversible watermarking utilising weighted median-based prediction
* Ripplet transform type II transform for feature extraction
* Robust approach to independent component analysis for SAR image analysis
* Robust image watermarking via geometrically invariant feature points and image normalisation
* Robust kernel-based learning for image-related problems
* Robust watermarking using fractional wavelet packet transform
* Scalable video coding with multi-layer motion vector palettes
* Shadow identification for digital imagery using colour and texture cues
* Shape retrieval based on manifold learning by fusion of dissimilarity measures
* Sharp feature extraction in point clouds
* Single image fog removal using anisotropic diffusion
* Single image visibility enhancement in gradient domain
* Speckle reduction with edges preservation for ultrasound images: Using Function Spaces Approach
* Spectral technique to recognise occluded objects
* Specular-based illumination estimation using blind signal separation techniques
* Super-resolution using an enhanced Papoulis-Gerchberg algorithm
* Triplet Markov Fields with Edge Location for Fast Unsupervised Multi-Class Segmentation of Synthetic Aperture Radar Images
* Unification of image fusion and super-resolution using jointly trained dictionaries and local information contents
* Unified framework for colourising corrupted image
* Vector quantisation index compression based on a coding tree assignment scheme with improved search-order coding algorithms
* Vector-field-based deformations for three-dimensional texture synthesis
* Very-large-scale integration design of a low-power and cost-effective context-based adaptive variable length coding decoder for H.264/AVC portable applications
* Video denoising in three-dimensional complex wavelet domain using a doubly stochastic modelling
* Video post processing: Low-latency spatiotemporal approach for detection and removal of rain
* Visual sensitivity-based low-bit-rate image compression algorithm
* Visual tracking via bag of features
* Wavelet domain Bayesian processor for speckle removal in medical ultrasound images
* Wavelet-based image denoising using three scales of dependency
* Wavelet-based oblivious image watermarking scheme using genetic algorithm
* Workspace for image clustering based on empirical mode decomposition
* Wound model reconstruction from three-dimensional skin surface imaging using the convex hull approximation method
136 for IET-IPR(6)

IET-IPR(7) * Active contour driven by local divergence energies for ultrasound image segmentation
* Adaptive sampling approach for volumetric shadows in dynamic scenes
* Angle consistency for registration between catadioptric omni-images and orthorectified aerial images
* Automated photo-consistency test for voxel colouring based on fuzzy adaptive hysteresis thresholding
* Automatic and quick blood vessels extraction algorithm in retinal images
* Automatic classification of medical X-ray images: hybrid generative-discriminative approach
* Boosted subunits: a framework for recognising sign language from videos
* Colour and texture feature-based image retrieval by using hadamard matrix in discrete wavelet transform
* Colour fringe detection and correction in YCbCr colour space
* Comparison of fractal coding methods for medical image compression
* Compound image compression based on unified LZ and hybrid coding
* Construction method of three-channel non-separable symmetric wavelets with arbitrary dilation matrices and its applications in multispectral image fusion
* Data-mining process: Application for hand detection in contact free settings
* Detection of hard exudates from diabetic retinopathy images using fuzzy logic
* Detection of local invariant features using contour
* Development and evaluation of perceptually adapted colour gradients
* Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification
* Effective two-step method for face hallucination based on sparse compensation on over-complete patches
* Enhancement of dark and low-contrast images using dynamic stochastic resonance
* Enhancing accuracy and sharpness of motion field with adaptive scheme and occlusion-aware filter
* Exploiting chrominance planes similarity on listless quadtree coders
* Extraction of interest points by Harris interest operator for synthetic aperture radar image coregistration
* Fast and reliable iris segmentation algorithm
* Framework for image retrieval using machine learning and statistical similarity matching techniques
* Fusion framework for multi-focus images based on compressed sensing
* Guided image filtering using signal subspace projection
* High throughput and energy efficient twodimensional inverse discrete cosine transform architecture
* Histogram-bin-shifting-based reversible watermarking for colour images
* Hybrid approach for Farsi/Arabic text detection and localisation in video frames
* Image denoising algorithm based on contourlet transform for optical coherence tomography heart tube image
* Image fusion scheme based on modified dual pulse coupled neural network
* Image segmentation by a new weighted student's t-mixture model
* Image segmentation using multilevel graph cuts and graph development using fuzzy rule-based system
* Image watermark detection in the wavelet domain using Bessel K densities
* Improved algorithm for detecting zero-quantised discrete cosine transform coefficients in H.264/AVC (revised version)
* Interpolation-based impulse noise removal
* Is there a relationship between peak-signal-to-noise ratio and structural similarity index measure?
* Layered-based exposure fusion algorithm
* Lossy and lossless image encoding using multi-scale recurrent pattern matching
* Low-bit depth-high-dynamic range image generation by blending differently exposed images
* Low-complexity multi-standard variable length coding decoder using tree-based partition and classification
* Low-contrast satellite images enhancement using discrete cosine transform pyramid and singular value decomposition
* Medical image registration based on fast and adaptive bidimensional empirical mode decomposition
* Minimisation of image watermarking side effects through subjective optimisation
* Mixed noise removal filter for multi-channel images based on halfspace deepest location
* Mosaic method of side-scan sonar strip images using corresponding features
* Multi-focus image fusion based on non-subsampled shearlet transform
* Multi-level fuzzy contourlet-based image fusion for medical applications
* Multiple interpretations by using pixel resonance concept
* Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections
* Myocardium segmentation in strain-encoded (SENC) magnetic resonance images using graph-cuts
* New approach for identifying hereditary relation using primary fingerprint patterns
* Noise-refined image enhancement using multi-objective optimisation
* Non-ideal iris segmentation using anisotropic diffusion
* Non-linear fourth-order telegraph-diffusion equation for noise removal
* Non-parametric modified histogram equalisation for contrast enhancement
* Object virtual viewing using adaptive tri-view morphing
* Ontology reasoning scheme for constructing meaningful sports video summarisation
* Optimised image retargeting using aesthetic-based cropping and scaling
* Pixel-wise skin colour detection based on flexible neural tree
* Pornographic image region detection based on visual attention model in compressed domain
* Quality-improved threshold visual secret sharing scheme by random grids
* Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database
* Robust image watermarking using dihedral angle based on maximum-likelihood detector
* Robust quantisation index modulation-based approach for image watermarking
* Segmentation and localisation of whole slide images using unsupervised learning
* Semi-supervised low-rank representation graph for pattern recognition
* Spatio-temporal video contrast enhancement
* Stabilising illumination variations in motion detection for surveillance applications
* Surface fitting for individual image thresholding and beyond
* Survey on blind image forgery detection
* Three-dimensional positioning from Google street view panoramas
* Transmission of JPEG2000 images over frequency selective channels with unequal power allocation
* Two anisotropic fourth-order partial differential equations for image inpainting
* Uniform depth region-based registration between colour channels and its application to single camera-based multifocusing
* Using macroscopic information in image segmentation
* Vessel-based registration of fundus and optical coherence tomography projection images of retina using a quadratic registration model
* Visual illumination compensation for face images using light mapping matrix
* Wavelet statistical texture features-based segmentation and classification of brain computed tomography images
* Whitening central projection descriptor for affine-invariant shape description
* Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding
81 for IET-IPR(7)

IET-IPR(8) * Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation
* Adaptive image segmentation by using mean-shift and evolutionary optimisation
* Annularcut: A graph-cut design for left ventricle segmentation from magnetic resonance images
* approach for chest tube detection in chest radiographs, An
* Area-delay-power-efficient architecture for folded two-dimensional discrete wavelet transform by multiple lifting computation
* Capacity improved robust lossless image watermarking
* Colour combination attention for object recognition
* Colour edge detection based on the fusion of hue component and principal component analysis
* Combining fractional-order edge detection and chaos synchronisation classifier for fingerprint identification
* Corner detection using Gabor filters
* Detection methods for blocking artefacts in transform coded images
* Diagnosis of diabetic retinopathy by employing image processing technique to detect exudates in retinal images
* Different lighting processing and feature extraction methods for efficient face recognition
* Document image super-resolution using structural similarity and Markov random field
* Edge detection for illumination varying images using wavelet similarity
* Edge preservation image enlargement and enhancement method based on the adaptive Perona-Malik non-linear diffusion model
* Edge-preserving colour-to-greyscale conversion
* Effective fuzzy clustering algorithm with Bayesian model and mean template for image segmentation
* Efficient 2-fold contextual filtering approach for fingerprint enhancement
* Efficient adaptive fuzzy-based switching weighted average filter for the restoration of impulse corrupted digital images
* Efficient residual coding algorithm based on hadamard transform in lossless H.264/AVC
* Efficient scrolling videotext detection with adaptive temporal differential approach
* Efficient wavelet-based perceptual watermark masking for robust fingerprint image watermarking
* Estimating the queue length at street intersections by using a movement feature space approach
* Estimation of Measurements for Block-Based Compressed Video Sensing: Study of Correlation Noise in Measurement Domain
* Fast hardware architecture for grey-level image morphology with flat structuring elements
* Filtering of mixed Gaussian and impulsive noise using morphological contrast detectors
* Fine logarithmic adaptive soft morphological algorithm for synthetic aperture radar image segmentation
* fractal-based image encryption system, A
* Geometric modelling of the wavelet coefficients for image watermarking using optimum detector
* Greedy framework for optical flow tracking of myocardium contours
* Hardware stream cipher with controllable chaos generator for colour image encryption
* High-payload block-based data hiding scheme using hybrid edge detector with minimal distortion
* Histogram modification using grey-level co-occurrence matrix for image contrast enhancement
* Human perception-based image segmentation using optimising of colour quantisation
* Hybrid approach using map-based estimation and class-specific Hough forest for pedestrian counting and detection
* Image adaptive and high-capacity watermarking system using accurate Zernike moments
* Image authentication algorithm with recovery capabilities based on neural networks in the DCT domain
* Image fusion using multiscale edge-preserving decomposition based on weighted least squares filter
* Image object extraction with shape and edge-driven Markov random field model
* Image processing system dedicated to a visual intra-cortical stimulator
* Image restoration by blind-Wiener filter
* Image segmentation by dirichlet process mixture model with generalised mean
* Index compression for vector quantisation using modified coding tree assignment scheme
* Informative visual words construction to improve bag of words image representation
* Intelligent hybrid watermarking ancient-document wavelet packet decomposition-singular value decomposition-based schema
* Inversion attack resilient zero-watermarking scheme for medical image authentication
* Lossless chaos-based crypto-compression scheme for image protection
* Medical image denoising by generalised Gaussian mixture modelling with edge information
* Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images
* Multivariate mathematical morphology based on fuzzy extremum estimation
* Multiview face recognition based on multilinear decomposition and pose manifold
* Neighbourhood sensitive preserving embedding for pattern classification
* Neighbourhood weighted fuzzy c-means clustering algorithm for image segmentation
* New accelerated graph-based method of image segmentation applying minimum spanning tree
* New approach for the detection of noise-distorted signals based on the method of S-preparation
* New optimised region-based multi-scale image fusion method for thermal and visible images
* New technique for online object tracking-by-detection in video
* Omni-gradient-based total variation minimisation for sparse reconstruction of omni-directional image
* One-third probability embedding: a new 1 histogram compensating image least significant bit steganography scheme
* Pan-sharpening based on weighted red black wavelets
* Performance analysis of hierarchical transform coding with a large kernel for video codecs
* Performance improvement of fuzzy-based algorithms for medical image retrieval
* Query-dependent metric learning for adaptive, content-based image browsing and retrieval
* Reduced memory, low complexity embedded image compression algorithm using hierarchical listless discrete tchebichef transform
* Region-based saliency detection
* Removing Gaussian noise for colour images by quaternion representation and optimisation of weights in non-local means filter
* Robust image hashing via colour vector angles and discrete wavelet transform
* Robust multilane detection and tracking in urban scenarios based on LIDAR and mono-vision
* Robust registration of partially overlapping point sets via genetic algorithm with growth operator
* Saliency detection framework via linear neighbourhood propagation
* Segmentation of sows in farrowing pens
* Self-embedding watermarking scheme for colour images by bi-level moment-preserving technique
* Semi-automatic object segmentation using colour invariance and Graph cuts
* Single change detection-based moving object segmentation by using Daubechies complex wavelet transform
* Single-image super-resolution with total generalised variation and Shearlet regularisations
* Sparse-induced similarity measure: mono-modal image registration via sparse-induced similarity measure
* Structural similarity-based video fingerprinting for video copy detection
* Subpixel-based image downsampling algorithm using content-adaptive two-dimensional FIR filters
* Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model
* Texture and edge preserving multiframe super-resolution
* Unsupervised evaluation method using Markov random field for moving object segmentation in infrared videos
* Visual wafer dies counting using geometrical characteristics
* Weighting scheme for image retrieval based on bag-of-visual-words
84 for IET-IPR(8)

IET-IPR(9) * Accurate system for automatic pill recognition using imprint information
* Acquisition source identification through a blind image classification
* Active contours with prior corner detection to extract discontinuous boundaries of anatomical structures in X-ray images
* Adaptive CLEAN algorithm for millimetre wave synthetic aperture imaging radiometer in near field
* Adaptive extended piecewise histogram equalisation for dark image enhancement
* Anisotropic adaptive method for triangular meshes smoothing
* Automated segmentation of the epidermis area in skin whole slide histopathological images
* Automatic detection and removal of high-density impulse noises
* Bayesian denoising of ultrasound images using heavy-tailed Levy distribution
* Benchmarking of wildland fire colour segmentation algorithms
* Binary image enhancement based on aperiodic stochastic resonance
* Colour compressed sensing imaging via sparse difference and fractal minimisation recovery
* Colour image steganography method based on sparse representation
* Colour retinal fundus image registration by selecting stable extremum points in the scale-invariant feature transform detector
* Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement
* Compressive sensing measurement matrix construction based on improved size compatible array LDPC code
* Computer-aided analysis of fluorescein angiograms using colour leakage maps
* Content-based image retrieval in dermatology using intelligent technique
* Content-based image retrieval using fuzzy class membership and rules based on classifier confidence
* Context-driven hybrid image inpainting
* Corrected unwrapping method based on the tangential and radial distortion centre for the panoramic annular image
* Decomposition by binary codes-based speedy image encryption algorithm for multiple applications
* Deinterlacing algorithm using gradient-guided interpolation and weighted average of directional estimation
* Digital image watermarking using partial pivoting lower and upper triangular decomposition into the wavelet domain
* Efficient image sharpening and denoising using adaptive guided image filtering
* Efficient iris localisation using a guided filter
* Efficient naturalness restoration for non-uniform illumination images
* Enhanced side match vector quantisation based on constructing complementary state codebook
* Entropy maximisation histogram modification scheme for image enhancement
* Fast computation of residual complexity image similarity metric using low-complexity transforms
* Fast large-scale image enlargement method with a novel evaluation approach: benchmark function-based peak signal-to-noise ratio
* Fast three-dimensional video coding encoding algorithms based on edge information of depth map
* Feature structure fusion modelling for classification
* Focal and diffused liver disease classification from ultrasound images based on isocontour segmentation
* Fractal image coding algorithm using particle swarm optimisation and hybrid quadtree partition scheme
* Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision
* Gaussian mixture model-based contrast enhancement
* Guest Editorial
* Handwritten numeral recognition using non-redundant Stockwell transform and bio-inspired optimal zoning
* Hardware architectures for the H.265/HEVC discrete cosine transform
* High-performance high dynamic range image generation by inverted local patterns
* High-quality initial codebook design method of vector quantisation using grouping strategy
* High-speed implementation of rate-distortion optimised quantisation for H.265/HEVC
* High-speed quantile-based histogram equalisation for brightness preservation and contrast enhancement
* Histogram of dense subgraphs for image representation
* Human colour skin detection in CMYK colour space
* Image compression and encryption scheme using fractal dictionary and Julia set
* Image denoising using common vector approach
* Image segmentation framework based on multiple feature spaces
* Image transmission using unequal error protected multi-fold turbo codes over a two-user power-line binary adder channel
* Improved centroid extraction algorithm for autonomous star sensor
* Improved fast mean shift algorithm for remote sensing image segmentation
* Improving image clarity using local feature dimension
* Incorporating approximate rotational invariance into two-dimensional S-transform
* Information fusion from multiple cameras for gait-based re-identification and recognition
* Infrared-visible video fusion based on motion-compensated wavelet transforms
* Interesting components detection for space satellites from inverse synthetic aperture radar image via feature probabilistic estimation
* Linear colour correction for multiple illumination changes and non-overlapping cameras
* Local brightness adaptive image colour enhancement with Wasserstein distance
* Local gradient-based illumination invariant face recognition using local phase quantisation and multi-resolution local binary pattern fusion
* Local neighbourhood-based robust colour occurrence descriptor for colour image retrieval
* Local selected features of dual-tree complex wavelet transform for single sample face recognition
* Locality-sensitive hashing for region-based large-scale image indexing
* Locally principal component analysis based on L1-norm maximisation
* Logarithmical hopping encoding: A low computational complexity algorithm for image compression
* Low-cost and high-speed hardware implementation of contrast-preserving image dynamic range compression for full-HD video enhancement
* Moving visual focus in salient object segmentation
* Multi-round dynamic swap optimisation for table-based steganography
* Multi-step radiographic image enhancement conforming to weld defect segmentation
* Multiple-constraint variational framework and image restoration problems
* New interface for musical instruments using lip reading
* New reversible full-embeddable information hiding method for vector quantisation indices based on locally adaptive complete coding list
* Optimised cubic spline approximations of image contours using points suppression
* Particle filter with occlusion handling for visual tracking
* Patch-based locality-enhanced collaborative representation for face recognition
* RANdom sample consensus (RANSAC) algorithm for enhancing overlapped etched track counting
* Real-time image smoke detection using staircase searching-based dual threshold AdaBoost and dynamic analysis
* Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior
* Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model
* Recent review on image clustering
* Reversible data hiding in JPEG images utilising zero quantised coefficients
* Revised spectral matching algorithm for scenes with mutually inconsistent local transformations
* Robust deblurring based on prediction of informative structure
* Robust medical image watermarking technique for accurate detection of tampers inside region of interest and recovering original region of interest
* Robust moving object detection using compressed sensing
* Salient object detection based on meanshift filtering and fusion of colour information
* Second-order steganographic method based on adaptive reference matrix
* Security analysis of a three-dimensional rotation-based image encryption
* Segmentation with saliency map using colour and depth images
* Semantic image compression based on data hiding
* Shape registration using characteristic functions
* Signal-walking-driven active contour model
* Simultaneous image fusion and denoising with adaptive sparse representation
* Single-frame image super-resolution inspired by perceptual criteria
* Single-image shadow detection and removal using local colour constancy computation
* Single-image super-resolution in RGB space via group sparse representation
* Single-image super-resolution with total generalised variation and Shearlet regularisations
* Small dim object tracking using a multi objective particle swarm optimisation technique
* Spatially adaptive image denoising using inter-scale dependence in directionlet domain
* Speckle filtering of ultrasound images using a modified non-linear diffusion model in non-subsampled shearlet domain
* Spelled sign word recognition using key frame
* Steganalysis of JPEG images using enhanced neighbouring joint density features
* Super resolution reconstruction based on block matching and three-dimensional filtering with sharpening
* Super-resolution reconstruction based on multisource bidirectional similarity and non-local similarity matching
* Supervised locally linear embedding algorithm based on orthogonal matching pursuit
* Synthetic aperture radar image despeckling via total generalised variation approach
* Texture descriptor based on local combination adaptive ternary pattern
* Topomorphological approach to automatic posture recognition in ballet dance
* Towards automatic image analysis and assessment of the multicellular apoptosis process
* Towards blind detection of low-rate spatial embedding in image steganalysis
* Tumour localisation in ultrasound-guided high-intensity focused ultrasound ablation using improved gradient and direction vector flow
* Tuned depth signal analysis on merged transform domain for view synthesis in free viewpoint systems
* Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks
* Variable bit rate video traffic prediction based on kernel least mean square method
* Variants of seeded region growing
* Variational approach for multi-source image fusion
* Vehicle logo recognition by weighted multi-class support vector machine ensembles based on sharpness histogram features
* Vessel transform for automatic optic disk detection in retinal images
* Video-based facial expression recognition by removing the style variations
* Wavelet-based blind deconvolution of near-field ultrasound scans
* Wavelets-based smoothness comparisons for volume data
121 for IET-IPR(9)

IET-ITS( Vol No. ) * *IET Intelligent Transport Systems

IET-ITS(1) * Do eye movements reflect driving manoeuvres?

IET-ITS(10) * Addressing errors in automated sensor data for real-time traffic state estimation using dynamical systems approach
* Analysis of influence on driver behaviour while using in-vehicle traffic lights with application of head-up display
* Analysis of the robustness of terminal turnaround arrangements for railways
* Application of hyperpath strategy and driving experience to risk-averse navigation
* Automated cyclist data collection under high density conditions
* Available parking slot recognition based on slot context analysis
* Clustered car-following strategy for improving car-following stability under Cooperative Vehicles Infrastructure Systems
* Collecting smart meter data via public transportation buses
* Comparative analysis of implicit models for real-time short-term traffic predictions
* Comparative study on the capacity of a signalised roundabout
* Comparison of delay estimation models for signalised intersections using field observations in Shanghai
* Comprehensive survey on security services in vehicular ad-hoc networks
* Connectivity supported dynamic routing of electric vehicles in an inductively coupled power transfer environment
* Control strategies for solving the problem of traffic congestion
* Corona segmentation for nighttime brake light detection
* Decentralised intelligent transport system with distributed intelligence based on classification techniques
* Delay management and energy consumption minimisation on a single-track railway
* Designing a multimodal generalised ride sharing system
* Detecting and positioning of traffic incidents via video-based analysis of traffic states in a road segment
* Development and testing of an automatic remote condition monitoring system for train wheels
* Dynamic charging systems for electric vehicles: Simulation for the daily energy estimation on motorways
* Dynamic delay risk assessing in supply chains
* Efficient and high-performance pedestrian detector implementation for intelligent vehicles
* Efficient method for vehicle license plate identification based on learning a morphological feature
* Electric vehicle modelling and energy-efficient routing using particle swarm optimisation
* Enhanced variable bandwidth progression optimisation model in arterial traffic signal control
* Estimating control delays at signalised intersections using low-resolution transit bus-based global positioning system data
* Estimating the frequency of trains approaching red signals: A case study for improving the understanding of SPAD risk
* Evaluation of driver fatigue with multi-indicators based on artificial neural network
* Evaluation of the effectiveness of portable variable message signs in work zones in United Arab Emirates
* Exploring walking gait features for the automated recognition of distracted pedestrians
* Fuel consumption in empirical synchronised flow in urban traffic
* GeoSRM- Online geospatial safety risk model for the GB rail network
* Green safety index representing traffic levels of service for online application
* Guest Editorial
* Highway travel time estimation using multiple data sources
* Human dynamics based driver model for autonomous car
* Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion
* Hydrogen fuel cell and kinetic energy recover systems technologies for powering urban bus with zero emission energy cycle
* Individual Persuasive Eco-travel Technology, a mobile persuasive application for implementing voluntary travel behaviour change programmes
* Individual utility-based path suggestions in transit trip planners
* Intelligent Transport System- RRUKA Special Issue-Editorial
* Issue of reliability: exploitation evaluation of electronic transport systems used in the railway environment with consideration of electromagnetic interference
* Macro-analysis of the evolution of motorised mobility and relationships with the development of motionless communication systems
* Map-matching algorithm applied to bicycle global positioning system traces in Bologna
* Modelling vehicles acceleration during overtaking manoeuvres
* Multi-class obstacle detection and classification using stereovision and improved active contour models
* Multi-lane detection based on omnidirectional camera using anisotropic steerable filters
* Multiple licence plate detection for Chinese vehicles in dense traffic scenarios
* Occlusion-robust traffic sign detection via cascaded colour cubic feature
* Optimising computer vision based ADAS: vehicle detection case study
* Outlier filtering algorithm for travel time estimation using dedicated short-range communications probes on rural highways
* Passenger acceptance of counter-terrorism security measures in stations
* Pothole detection using spatio-temporal saliency
* Probing deeper into the risks of slips, trips and falls for an ageing rail passenger population: applying a systems approach
* Railway infrastructure asset management: The whole-system life cost analysis
* Real-time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model
* Real-time data-driven traffic simulation for performance measure estimation
* Real-time multi-class moving target tracking and recognition
* Research on the optimal planning of the battery switch station for electric vehicles
* Road traffic predictions across major city intersections using multilayer perceptrons and data from multiple intersections located in various places
* Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay
* Signal coordination scheme based on traffic emission
* Smart e-bike monitoring system: real-time open source and open hardware GPS assistance and sensor data for electrically-assisted bicycles
* Smartphone-based fatigue detection system using progressive locating method
* Strategic car-following gap model considering the effect of cut-ins from adjacent lanes
* Study and implementation of the LED headlight driver with auto-start function in specific location
* Sustainability assessment approaches for intelligent transport systems: the state of the art
* Test of rolling stock electromagnetic compatibility for cross-domain interoperability
* Testing energy and emissions assessment models: A highway case study in virtual reality
* Towards eco-aware timetabling: evolutionary approach and cascading initialisation strategy for the bi-objective optimisation of train running times
* Traffic network micro-simulation model and control algorithm based on approximate dynamic programming
* Trajectory analysis for parking lot vacancy detection system
* Trajectory control for autonomous electric vehicles with in-wheel motors based on a dynamics model approach
* Transport models and intelligent transportation system to support urban evacuation planning process
* Vehicle detection, counting and classification in various conditions
* Vehicle routing in urban areas based on the Oil Consumption Weight -Dijkstra algorithm
* Vehicles detection in complex urban traffic scenes using Gaussian mixture model with confidence measurement
* Virtual dynamic message signs: A future mode for basic public traveller information
* Vision-based fault inspection of small mechanical components for train safety
* Vision-based position computation from in-vehicle video log images for road sign inventory
81 for IET-ITS(10)

IET-ITS(11) * Accurate object distance estimation based on frequency-domain analysis with a stereo camera
* Advantage of cooperative traffic light control algorithms
* Analysis of drivers' performance in response to potential collision with pedestrians at urban crosswalks
* Analysis of speed disturbances in empirical single vehicle probe data before traffic breakdown
* Assessment of positioning accuracy of vehicle trajectories for different road applications
* Automated analysis of pedestrian walking behaviour at a signalised intersection in China
* Automatic classification of traffic incident's severity using machine learning approaches
* Autonomous Intersection Management systems: criteria, implementation and evaluation
* Available parking slot recognition based on slot context analysis
* Bifurcation of lane change on highway for large bus
* Break-taking behaviour pattern of long-distance freight vehicles based on GPS trajectory data
* CANS: context-aware traffic estimation and navigation system
* Circular particle fusion filter applied to map matching
* Clustered swarm: a live swarm-based traffic load balancing algorithm against traffic jams
* Colouring vehicle threat and minimising threat avoidance trajectory cost for adaptive vehicle collision defence system in active safe driving
* Comparing fuel consumption based on normalised driving behaviour: A case study on major cities in China
* Comparison of adaptive traffic control benefits for recurring and non-recurring traffic conditions
* Context-sensitive, first-principles approach to bicycle speed estimation
* Coordinated optimisation problem integrating EMU circulation and timetabling for high-speed railway
* Counting vehicles in urban traffic scenes using foreground time-spatial images
* Curve speed model for driver assistance based on driving style classification
* Cycle-based variable speed limit methodology for improved freeway merging
* Decoupled H 8 control of automated vehicular platoons with complex interaction topologies
* Deep-learning architecture to forecast destinations of bus passengers from entry-only smart-card data
* Design of distributed cooperative observer for heavy-haul train with unknown displacement
* Destination and route choice models for bidirectional pedestrian flow based on the social force model
* Develop right-turn real-time crash warning system at arterial access considering driver behaviour
* Developing a simulation framework for safe and optimal trajectories considering drivers' driving style
* Driving risk status prediction using Bayesian networks and logistic regression
* Early adopters of emergency braking and speed alert
* Embedding vision-based advanced driver assistance systems: a survey
* Emission optimised control and speed limit for isolated intersections
* Empowering vehicle tracking in a cluttered environment with adaptive cellular automata suitable to intelligent transportation systems
* Energy Management of a Dual-Mode Power-Split Powertrain Based on the Pontryagin's Minimum Principle
* Evaluation of the CO2 emissions pathway from hydrogen production to fuel cell car utilisation
* Evaluation of the effects of in-vehicle traffic lights on driving performances for unsignalised intersections
* Examining pedestrian evasive actions as a potential indicator for traffic conflicts
* Field test of train trajectory optimisation on a metro line
* Finding the faster path in vehicle routing
* Framework model for time-variant propagation speed and congestion boundary by incident on expressways
* Fundamental characteristics of Wi-Fi and wireless local area network re-identification for transportation
* Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles
* Guest Editorial: Highlights from the ITS European Congress in Glasgow (2016)
* Impact of on-board tutoring systems to improve driving efficiency of non-professional drivers
* Improving energy-efficient train operation in urban railways: employing the variation of regenerative energy recovery rate
* Integration of auto-steering with adaptive cruise control for improved cornering behaviour
* ITS-G5 performance improvement and evaluation for vulnerable road user safety services
* Location error resilient geographical routing for vehicular ad-hoc networks
* Location information verification using transferable belief model for geographic routing in vehicular ad hoc networks
* LSTM network: a deep learning approach for short-term traffic forecast
* Measuring the driver's perception error in the traffic accident risk evaluation
* Modelling the driving behaviour at a signalised intersection with the information of remaining green time
* Network survivability and recoverability in urban rail transit systems under disruption
* On-road experimental study on driving anger identification model based on physiological features by ROC curve analysis
* Open transport data for maximising reuse in multimodal route planners: a study in Flanders
* Optimisation model for network progression coordinated control under the signal design mode of split phasing
* Performance evaluation of vehicular platoons using Webots
* Process for evaluating the data transfer performance of wireless traffic sensors for real-time intelligent transportation systems applications
* Public bus commuter assistance through the named entity recognition of twitter feeds and intelligent route finding
* Public service approach to car-sharing in mid-sized towns: The example of Belfort (France)
* Quantification of road grade to improve the estimation of fuel consumptions using the global positioning system
* Quantification of variability of valid travel times with FMMs for buses, passenger cars, and taxis
* Quantifying the effectiveness of ITS in improving safety of VRUs
* Rainfall-integrated traffic speed prediction using deep learning method
* Real-time drowsiness detection using wearable, lightweight brain sensing headbands
* Realised safety impacts of electronic stability control in Finland
* Reusable road condition information system for traffic safety and targeted maintenance
* Road network abstraction approach for traffic analysis: Framework and numerical analysis
* Robust and cost-efficient experimental design for technical tests of information and communication technology-based solutions in the automotive sector
* Sensor layout strategy and sensitivity analysis for macroscopic traffic flow parameter acquisition
* Simulation of hard shoulder running combined with queue warning during traffic accident with CTM model
* Smart road that warns its network manager when it begins cracking
* Smartphone-based crowdsourcing for position estimation of public transport vehicles
* Speed prediction from mobile sensors using cellular phone-based traffic data
* ST TD outlier detection
* Switching LDS detection for GNSS-based train integrity monitoring system
* Traffic demand estimation for lane groups at signal-controlled intersections using travel times from video-imaging detectors
* Traffic flow data compression considering burst components
* Traffic light control using deep policy-gradient and value-function-based reinforcement learning
* Understanding evacuation and impact of a metro collision on ridership using large-scale mobile phone data
* Vehicle collision prediction at intersections based on comparison of minimal distance between vehicles and dynamic thresholds
* Vehicle detection using three-axis AMR sensors deployed along travel lane markings
* Vehicle positioning system with multi-hypothesis map matching and robust feedback
* Wearable computing for railway environments: proposal and evaluation of a safety solution
84 for IET-ITS(11)

IET-ITS(12) * *Guest Editorial: Big Traffic Data Analysis and Mining
* *Guest Editorial: Driver Distraction and Inattention: meeting the challenges of new technology and automation
* *Guest Editorial: Selected Papers from the 25th ITS World Congress Copenhagen 2018
* *Guest Editorial: Selected Papers from the Scientific Seminar of the Italian Association of Transport Academicians (SIDT)2017
* Accessibility measure of bus transit networks
* Accounting for travel time reliability, trip purpose and departure time choice in an agent-based dynamic toll pricing approach
* Adaptive non-linear trajectory tracking control for lane change of autonomous four-wheel independently drive electric vehicles
* Advanced accident prediction models and impacts assessment
* Aerodrome situational awareness of unmanned aircraft: an integrated self-learning approach with Bayesian network semantic segmentation
* All-stop, skip-stop, or transfer service: an empirical study on preferences of bus passengers
* Analysis of rainfall effects on road travel speed in Beijing, China
* Analysis of saturation flow rate at tandem intersections using field data
* Ant colony optimisation for coloured travelling salesman problem by multi-task learning
* Approach to discovering companion patterns based on traffic data stream
* Assessment of ITS architectures
* Automated class identification of modes of travel in shared spaces: A case study from India
* Automated visual inspection of target parts for train safety based on deep learning
* Automotive radar system for multiple-vehicle detection and tracking in urban environments
* Big Data for transportation and mobility: Recent advances, trends and challenges
* Bluetooth portal-based system to measure the performance of building emergency evacuation plans and drills
* Calibrating supply parameters of large-scale DTA models with surrogate-based optimisation
* Calibration and validation of cellular automaton traffic flow model with empirical and experimental data
* Car detection and classification using cascade model
* Centralised versus decentralised signal control of large-scale urban road networks in real time: a simulation study
* City-wide emissions modelling using fleet probe vehicles
* Closed-loop hierarchical control strategies for connected and autonomous hybrid electric vehicles with random errors
* Combining weather condition data to predict traffic flow: A GRU-based deep learning approach
* Comparing the effects of ramp metering and variable speed limit on reducing travel time and crash risk at bottlenecks
* Comparison of performance between Virtual Controller Interface Device and Controller Interface Device
* Complex network model for railway timetable stability optimisation
* Comprehensive predictive control method for automated vehicles in dynamic traffic circumstances
* Control design for stable connected cruise control systems to enhance safety and traffic efficiency
* Cooperative adaptive cruise control in mixed traffic with selective use of vehicle-to-vehicle communication
* Cooperative driving modelling in the vicinity of traffic signals based on intelligent driver model
* Cost sharing of terminal joint distribution of express industry
* Cross-regional driver-vehicle interaction design: an interview study on driving risk perceptions, decisions, and ADAS function preferences
* Data analytics approach for train timetable performance measures using automatic train supervision data
* Data dissemination in service discovery for vehicular ad hoc networks: a survey
* Data-driven approach for identifying spatiotemporally recurrent bottlenecks
* Data-driven car-following model based on rough set theory
* Deep learning methods in transportation domain: a review
* Deep learning-based real-time fine-grained pedestrian recognition using stream processing
* Designing a multimodal generalised ride sharing system
* Determination of optimal electroencephalography recording locations for detecting drowsy driving
* Diffie-Hellman process and its use in secure and authenticated VC networks
* Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue
* Driver distraction and inattention in the realm of automated driving
* Driver drowsiness detection using facial dynamic fusion information and a DBN
* Driver intention based coordinate control of regenerative and plugging braking for electric vehicles with in-wheel PMSMs
* Driver's dashboard- using social media data as additional information for motorway operators
* Dynamic traffic diversion model based on dynamic traffic demand estimation and prediction
* Dynamically integrated spatiotemporal-based trajectory planning and control for autonomous vehicles
* Effects of predictive horizon on network performance under short-term predictive information
* Efficient caching strategy in content-centric networking for vehicular ad-hoc network applications
* Emission factor calibration and signal timing optimisation for isolated intersections
* En route truckdrone parcel delivery for optimal vehicle routing strategies
* Enhancement of safety and comfort of cyclists at intersections
* Ensemble classifier for driver's fatigue detection based on a single EEG channel
* Estimating urban traffic states using iterative refinement and Wardrop equilibria
* Estimation of sparse O-D matrix accounting for demand volatility
* Evaluating cyclist patterns using GPS data from smartphones
* Evaluation framework for mobile ticketing applications in public transit: a case study
* Evaluation methodology for license plate recognition systems and experimental results
* Examining the potential of floating car data for dynamic traffic management
* Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area
* Exploration and evaluation of individual difference to driving fatigue for high-speed railway: a parametric SVM model based on multidimensional visual cue
* Exploring lane change safety issues for manually driven vehicles in vehicle platooning environments
* Facilitation of air traffic control via optical character recognition-based aircraft registration number extraction
* Fast single shot multibox detector and its application on vehicle counting system
* FCD data for on-street parking search time estimation
* Feature selection-based approach for urban short-term travel speed prediction
* FISS: function identification of subway stations based on semantics mining and functional clustering
* Framework for dynamic hand gesture recognition using Grassmann manifold for intelligent vehicles
* Freeway speed harmonisation experiment using connected and automated vehicles
* GPS-data-driven dynamic destination prediction for on-demand one-way carsharing system
* Hidden Markov model and driver path preference for floating car trajectory map matching
* Hierarchical hub location problem for freight network design
* How many times do young drivers actually touch their smartphone screens while driving?
* How to drive passenger airport experience: A decision support system based on user profile
* How to pay less: a location-specific approach to predict dynamic prices in ride-on-demand services
* How to support fuel-efficient driving?
* Hybrid approach for variable speed limit implementation and application to mixed traffic conditions with connected autonomous vehicles
* Hybrid machine learning and optimisation method to solve a tri-level road network protection problem
* Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition
* Identifying activities and trips with GPS data
* Impact assessments of intelligent transport system performance in a freight transport corridor
* Impact of the road network configuration on map-matching algorithms for FCD in urban environments
* Implementation and evaluation of cooperative adaptive cruise control functionalities
* Improved approach for time-based taxi trajectory planning towards conflict-free, efficient and fluent airport ground movement
* Improved license plate localisation algorithm based on morphological operations
* Improving performance of pedestrian positioning by using vehicular communication signals
* In-use emissions testing of diesel-driven buses in Southampton: Is selective catalytic reduction as effective as fleet operators think?
* Influence of haptic guidance on driving behaviour under degraded visual feedback conditions
* Integrated framework for real-time urban network travel time prediction on sparse probe data
* Integrity monitoring for Positioning of intelligent transport systems using integrated RTK-GNSS, IMU and vehicle odometer
* Interval type-2 fuzzy-logic-based decision fusion system for air-lane monitoring
* INTRALOG- intelligent autonomous truck applications in logistics; single and double articulated autonomous rearward docking on DCs
* Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions
* LADAR-based collision warning sensor to prevent over-height vehicle bridge hits
* Lane detection method based on lane structural analysis and CNNs
* Longitudinal speed control of autonomous vehicle based on a self-adaptive PID of radial basis function neural network
* Low-cost triboelectric sensor for speed measurement and weight estimation of vehicles
* Mapping of truck traffic in New Jersey using weigh-in-motion data
* Merging safety and cybersecurity analysis in product design
* Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model
* Metro timetable optimisation for minimising carbon emission and passenger time: a bi-objective integer programming approach
* Mining taxi trajectories for most suitable stations of sharing bikes to ease traffic congestion
* Multi-level pedestrian signalisation at large four-leg roundabouts
* Multi-level thinking cellular automata using granular computing title
* Multinomial logit analysis of the effects of five different app-based incentives to encourage cycling to work
* Multiple operating mode ANFIS modelling for speed control of HSEMU
* Operational analysis of a connected vehicle-supported access control on urban arterials
* Optimal location and sizing of fast charging stations for electric vehicles by incorporating traffic and power networks
* Optimal velocity prediction for fuel economy improvement of connected vehicles
* Optimising departure intervals for multiple bus lines with a multi-objective model
* Optimising the public transport priority at road intersections
* Performance evaluation of integrated strategy of vehicle route guidance and traffic signal control using traffic simulation
* Performance indicators and automatic identification systems in inland freight terminals for intermodal transport
* Police-less multi-party traffic violation detection and reporting system with privacy preservation
* Potential safety effects of a frontal brake light for motor vehicles
* Predicting the future location of cars on urban street network by chaining spatial web services
* Predicting vacant parking space availability: an SVR method with fruit fly optimisation
* Prediction of energy consumption for new electric vehicle models by machine learning
* Prediction of ship collision risk based on CART
* Proposal of a new virtual evaluation approach of preventive safety applications and advanced driver assistance functions- application: AEB system
* Railway freight volume forecast using an ensemble model with optimised deep belief network
* Real-time detection of distracted driving based on deep learning
* Real-time detection of end-of-queue shockwaves on freeways using probe vehicles with spacing equipment
* Real-time estimation of freeway travel time with recurrent congestion based on sparse detector data
* Real-time traffic signal control for intersections based on dynamic O-D estimation and multi-objective optimisation: combined model and algorithm
* Real-time vehicle detection and counting in complex traffic scenes using background subtraction model with low-rank decomposition
* Road safety analysis for high-speed vehicle in complex environments based on the viability kernel
* Roadside unit location for information propagation promotion on two parallel roadways with a general headway distribution
* Robust and flexible strategy for missing data imputation in intelligent transportation system
* Rule-based searching for collision test cases of autonomous vehicles simulation
* Safety monitor for train-centric CBTC system
* Sensor fusion for vehicle tracking based on the estimated probability
* Short-term traffic flow prediction using fuzzy information granulation approach under different time intervals
* Short-term traffic forecasting using self-adjusting k-nearest neighbours
* Simulating deployment of connectivity and automation on the Antwerp ring road
* Simulating the effect of cognitive load on braking responses in lead vehicle braking scenarios
* Simulationoptimisation framework for City Logistics: An application on multimodal last-mile delivery
* Smart parking sensors, technologies and applications for open parking lots: a review
* Stochastic collective model of public transport passenger arrival process
* Stochastic traffic modelling and decentralised signal control based on a state transition probability model
* Support vector machine and back propagation neutral network approaches for trip mode prediction using mobile phone data
* Systematic clustering method to identify and characterise spatiotemporal congestion on freeway corridors
* Target recognition for coastal surveillance based on radar images and generalised Bayesian inference
* Testing an innovative predictive management system for bus fleets: outcomes from the Ravenna case study
* traffic flow prediction model based on deep belief network and genetic algorithm
* Traffic sign recognition using weighted multi-convolutional neural network
* Trajectory planning and optimisation method for intelligent vehicle lane changing emergently
* Trip planning within a multimodal urban mobility
* Understanding the effects of peripheral vision and muscle memory on in-vehicle touchscreen interactions
* Urban link travel time estimation using traffic states-based data fusion
* Using ALPR data to understand the vehicle use behaviour under TDM measures
* Value-based deep reinforcement learning for adaptive isolated intersection signal control
* Vehicle deformation depth based injury risk function for safety benefit evaluation of crash avoidance and mitigation systems
* Vehicle scheduling approach and its practice to optimise public bicycle redistribution in Hangzhou
* Vehicles detection for illumination changes urban traffic scenes employing adaptive local texture feature background model
* Vehicular traffic optimisation and even distribution using ant colony in smart city environment
* Vigilance detection method for high-speed rail using wireless wearable EEG collection technology based on low-rank matrix decomposition
* Wavelet-based short-term forecasting with improved threshold recognition for urban expressway traffic conditions
163 for IET-ITS(12)

IET-ITS(13) * *Guest Editorial: Big Data Analytics and Artificial Intelligence (AI) Applications for Smart Transportation - Selected Papers from World Transportation Congress (WTC) 2018
* *Guest Editorial: Recent Advancements on Electrified, Low Emission and Intelligent Vehicle Systems
* *Guest Editorial: Selected Papers from the 26th ITS World Congress, Singapore 2019
* *Guest Editorial: Selected papers from the 6th International Conference on Driver Distraction and Inattention (DDI2018)
* Accelerated adaptive super twisting sliding mode observer-based drive shaft torque estimation for electric vehicle with automated manual transmission
* Active collision algorithm for autonomous electric vehicles at intersections
* Adaptive dynamic surface longitudinal tracking control of autonomous vehicles
* Adjustable automation and manoeuvre control in automated driving
* Advancing usage-based insurance: A contextual driving risk modelling and analysis approach
* AER adaptive control strategy via energy prediction for PHEV
* Algorithm and peer-to-peer negotiation strategies for train dispatching problems in railway bottleneck sections
* Alternative approach for vehicle trajectory reconstruction under spatiotemporal side friction using lopsided network
* Analysing driving efficiency of mandatory lane change decision for autonomous vehicles
* Analysis of braking intention based on fNIRS in driving simulation experiments
* Anticipation model based on a modified fuzzy logic approach
* Arterial link travel time estimation considering traffic signal delays using cellular handoff data
* Artificial bee colony algorithm with generating neighbourhood solution for large scale coloured traveling salesman problem
* Artificial neural network for modelling of the correlation between lateral acceleration and head movement in a motion sickness study
* Automated traffic sign and light pole detection in mobile LiDAR scanning data
* Automatic measurement of the traffic sign with digital segmentation and recognition
* Automatic smoky vehicle detection from traffic surveillance video based on vehicle rear detection and multi-feature fusion
* Autonomous driving: a bird's eye view
* Bayesian models with spatial autocorrelation for bike sharing ridership variability based on revealed preference GPS trajectory data
* Bayesian place recognition based on bag of objects for intelligent vehicle localisation
* Beacon trust management system and fake data detection in vehicular ad-hoc networks
* Big spatio-temporal data mining for emergency management information systems
* Bus frequency optimisation considering user behaviour based on mobile bus applications
* Calibration of Gipps' car-following model for trucks and the impacts on fuel consumption estimation
* CB-MAC: a novel cluster-based MAC protocol for VANETs
* Cellular automaton simulation of vehicles in the contraflow left-turn lane at signalised intersections
* Cognitive intelligence of highly automated vehicles in a car-sharing context
* Comparative study on the economy of hybrid mining trucks for open-pit mining
* Comprehensive chassis control strategy of FWIC-EV based on sliding mode control
* Confidence analysis of feature points for visual-inertial odometry of urban vehicles
* Cooperative chassis control system of electric vehicles for agility and stability improvements
* Cooperative distributed predictive control for collision-free vehicle platoons
* Cooperative look-ahead control of vehicle platoon travelling on a road with varying slopes
* Cooperative perception in autonomous ground vehicles using a mobile-robot testbed
* Cooperative vehicle localisation method based on the fusion of GPS, inter-vehicle distance, and bearing angle measurements
* Coordinated Control for Path Following of Two-Wheel Independently Actuated Autonomous Ground Vehicle
* Data-driven next destination prediction and ETA improvement for urban delivery fleets
* Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture
* Deep learning-based embedded license plate localisation system
* Deep learning-based helmet wear analysis of a motorcycle rider for intelligent surveillance system
* Deep learning-based hybrid model for short-term subway passenger flow prediction using automatic fare collection data
* Deep learning-based vehicle detection with synthetic image data
* Deep reinforcement learning based conflict detection and resolution in air traffic control
* DeepRange: deep-learning-based object detection and ranging in autonomous driving
* Design and optimisation of an In-wheel switched reluctance motor for electric vehicles
* Detecting sleep in drivers during highly automated driving: the potential of physiological parameters
* Determining the appropriate lane width at urban signalised intersections- a case study in Beijing
* Development and verification of cooperative adaptive cruise control via LTE-V
* Development of a multiple-camera 3D vehicle tracking system for traffic data collection at intersections
* Development of localisation and mapping software for autonomous cars
* Development of neuro-fuzzy-based multimodal mode choice model for commuter in Delhi
* Direct-yaw-moment control of four-wheel-drive electrical vehicle based on lateral tyre-road forces and sideslip angle observer
* DLMPCS-based improved yaw stability control strategy for DDEV
* Driver identification in intelligent vehicle systems using machine learning algorithms
* Driving behaviour characterisation by using phase-space reconstruction and pre-trained convolutional neural network
* Dynamic integration and online evaluation of vision-based lane detection algorithms
* Dynamic platoon dispersion model based on real-time link travel time
* Dynamic pricing strategy for high occupancy toll lanes based on random forest and nested model
* Dynamic road pricing for optimal traffic flow management by using non-linear model predictive control
* Dynamic traffic demand uncertainty prediction using radio-frequency identification data and link volume data
* Economic comparison between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) at freeway on-ramps based on microscopic simulations
* Effect of lane allocation on operational efficiency at weaving areas based on a cellular automaton model
* Effects of ACC and CACC vehicles on traffic flow based on an improved variable time headway spacing strategy
* Efficient convNets for fast traffic sign recognition
* Efficient data handover and intelligent information assessment in software-defined vehicular social networks
* Efficient processing of distance-time kth-order skyline queries in bicriteria networks
* Empty vehicle redistribution and fleet size in autonomous taxi systems
* Enhanced fuzzy-logic-based power-assisted control with user-adaptive systems for human-electric bikes
* Enterprise architecture within railway systems engineering
* Estimating benefits of C-ITS deployment, when legacy roadside systems are present
* Evaluating alternative methods to estimate bus running times by archived automatic vehicle location data
* Exploring credentials of Wi-Fi sensors as a complementary transport data: an Indian experience
* Fast and robust map-matching algorithm based on a global measure and dynamic programming for sparse probe data
* Fast velocity trajectory planning and control algorithm of intelligent 4WD electric vehicle for energy saving using time-based MPC
* Fast video-based queue length detection approach for self-organising traffic control
* Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning
* Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short-term memory units
* Feature-based detection and classification of moving objects using LiDAR sensor
* Flexible transit routing model considering passengers' willingness to pay
* Forced-node route guidance system: Incorporating both user equilibrium and system optimal benefits
* Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework
* Gated branch neural network for mandatory lane changing suggestion at the on-ramps of highway
* Guest Editorial: Recent Advances on Vehicle to Everything (V2X): Emerging Applications and Technologies
* Hardware and software architecture of intelligent vehicles and road verification in typical traffic scenarios
* Human-machine shared control for vehicle lane keeping systems: A Lyapunov-based approach
* Hybrid data-driven approach for truck travel time imputation
* Hybrid dual Kalman filtering model for short-term traffic flow forecasting
* Implementation of velocity optimisation strategy based on preview road information to trade off transport time and fuel consumption for hybrid mining trucks
* Importance of subject-dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions
* Improved algorithms for trip-chain estimation using massive student behaviour data from urban transit systems
* Improved scheme of membership function optimisation for fuzzy air-fuel ratio control of GDI engines
* Improvement of safe stopping distance and accident risk coefficient based on active driver sight field on real road conditions
* Improving fuel efficiency of connected and automated transit buses on signallised corridors
* Improving road safety and user experience by employing dynamic in-vehicle information systems
* Influence of driver characteristics on emissions and fuel consumption
* Innovative method for traffic data imputation based on convolutional neural network
* Integrated model predictive and torque vectoring control for path tracking of 4-wheel-driven autonomous vehicles
* Integrated trajectory planning and control for obstacle avoidance manoeuvre using non-linear vehicle MP algorithm
* Intelligent vehicle safety system based on BeiDou satellite navigation system
* Interval data-based k-means clustering method for traffic state identification at urban intersections
* Investigating and modelling the relationship between traffic volume and extracts from cellphone activity data
* Investigating long-term vehicle speed prediction based on BP-LSTM algorithms
* Investigation of a DSRC-based end of queue collision warning system by considering real freeway data
* Investigation of the costs, benefits and funding models for two bundles of cooperative intelligent transport system services
* ISRF: interest semantic reasoning based fog firewall for information-centric Internet of Vehicles
* Kernel PCA for road traffic data non-linear feature extraction
* Lane-keeping control based on an improved artificial potential method and coordination of steering/braking systems
* Laser-based SLAM automatic parallel parking path planning and tracking for passenger vehicle
* Lateral control system for vehicle platoon considering vehicle dynamic characteristics
* Lateral Distance Detection Model Based on Convolutional Neural Network
* Lateral stability enhancement based on a novel sliding mode prediction control for a four-wheel-independently actuated electric vehicle
* Learning-based method for lane detection using regionlet representation
* Localisation-based autonomous vehicle rear-end collision avoidance by emergency steering
* Long automated driving phase affects take-over performance
* Longitudinal error improvement by visual odometry trajectory trail and road segment matching
* Manoeuvre prediction and planning for automated and connected vehicles based on interaction and gaming awareness under uncertainty
* Measurement of dynamic vibration in cycling using portable terminal measurement system
* Millimetre-wave massive MIMO for cellular vehicle-to-infrastructure communication
* Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control
* Model predictive control-based eco-driving strategy for CAV
* Model-based control strategy for oversaturated traffic regimes based on the LWR-IM traffic model
* Modelling and control for economy-oriented car-following problem of hybrid electric vehicle
* Modelling and testing of in-wheel motor drive intelligent electric vehicles based on co-simulation with Carsim/Simulink
* Modular scheme for four-wheel-drive electric vehicle tire-road force and velocity estimation
* Moving horizon shared steering strategy for intelligent vehicle based on potential-hazard analysis
* Multi-model ensemble for short-term traffic flow prediction under normal and abnormal conditions
* Multi-objective optimal cooperative driving for connected and automated vehicles at non-signalised intersection
* Multi-objective optimisation of electro-hydraulic braking system based on MOEA/D algorithm
* Multi-receptive field graph convolutional neural networks for pedestrian detection
* Multi-scale classification network for road crack detection
* Multi-stage approach for the transshipment of import containers at maritime container terminals
* MWNet: object detection network applicable for different weather conditions
* Natural language processing approach for appraisal of passenger satisfaction and service quality of public transportation
* New traction motor sizing strategy for an HEV/EV based on an overcurrent-tolerant prediction model
* Non-linear fixed and multi-level random effects of origin-destination specific attributes on route choice behaviour
* Novel fast safety assessment method for the buffer section of maintenance work zone
* On the use of non-orthogonal multiple access for V2V message dissemination
* On-line vehicle detection at nighttime-based tail-light pairing with saliency detection in the multi-lane intersection
* Optimal control problem of multi-vehicle cooperative autonomous parking trajectory planning in a connected vehicle environment
* Optimal location of the U-turn at a signalised intersection with double left-turn lanes
* Optimal storage and loading zones within surface parking facilities for privately owned automated vehicles
* Optimisation model and solution method of multi-sources guide paths
* Optimising total entry delay at roundabouts with unbalanced flow: A dynamic strategy for smart metering
* Out-of-the-loop crash prediction: the automation expectation mismatch (AEM) algorithm
* Particle filter-based vehicle tracking via HOG features after image stabilisation in intelligent drive system
* Path planning for autonomous underwater vehicle in time-varying current
* Pavement network reliability: A dual-network based on fuzzy set methodology
* Perspectives on stability and mobility of transit passenger's travel behaviour through smart card data
* PM and PAHs emissions of ship auxiliary engine fuelled with waste cooking oil biodiesel and marine gas oil
* Potential of wireless power transfer for dynamic charging of electric vehicles
* Practical backstepping control for underactuated ship path following associated with disturbances
* Predicting adoption of mobile payments from the perspective of taxi drivers
* Predicting drivers' direction sign reading reaction time using an integrated cognitive architecture
* Prediction of traffic volume by mining traffic sequences using travel time based PrefixSpan
* Preference-based smart parking system in a university campus
* Projected state-wide traffic forecast parameters using artificial neural networks
* Real-time energy management for commute HEVs using modified A-ECMS with traffic information recognition
* Reliable broadcast mechanism for emergency message in urban vehicular ad hoc networks
* Research on a coordinated cornering brake control of three-axle heavy vehicles based on hardware-in-loop test
* Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data
* Research on the influence factors of real driving cycle with statistical analysis and dynamic time warping
* Resident activity pattern recognition and comparison of six Sino-American metropolises
* Review of trajectory optimisation for connected automated vehicles
* Robust H 8 state feedback control for handling stability of intelligent vehicles on a novel all-wheel independent steering mode
* Robust shifting control of a motor-transmission integrated system considering anti-jerking and speed regulation for electric vehicles
* Rollover risk assessment and automated control for heavy duty vehicles based on vehicle-to-infrastructure information
* SAPSC: SignRecrypting authentication protocol using shareable clouds in VANET groups
* Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework
* Short-term passenger flow forecast of urban rail transit based on GPR and KRR
* Some features of car-following behaviour in the vicinity of signalised intersection and how to model them
* Spatial-temporal traffic outlier detection by coupling road level of service
* Speech enhancement for in-vehicle voice control systems using wavelet analysis and blind source separation
* Statistical-based approach for driving style recognition using Bayesian probability with kernel density estimation
* Survey of connected automated vehicle perception mode: from autonomy to interaction
* Survey on cooperatively V2X downloading for intelligent transport systems
* SVM-based hybrid approach for corridor-level travel-time estimation
* SVRGSA: a hybrid learning based model for short-term traffic flow forecasting
* Systematic review on vehicular licence plate recognition framework in intelligent transport systems
* Time-of-day breakpoints optimisation through recursive time series partitioning
* To text or not to text- drivers' interpretation of traffic situations as the basis for their decision to (not) engage in text messaging
* Towards a fully automated car parking system
* Traffic control approach based on multi-source data fusion
* Traffic flow estimation on the expressway network using toll ticket data
* Trajectory tracking and prediction of pedestrian's crossing intention using roadside LiDAR
* Truck active reversing control strategy based on modified particle filter and multi-sensors environment perception
* Two-fold calibration approach for microscopic traffic simulation models
* Understanding drivers' route choice behaviours in the urban network with machine learning models
* Understanding multiple days' metro travel demand at aggregate level
* Unstructured road detection via combining the model-based and feature-based methods
* Unsupervised hybrid anomaly detection model for logistics fleet management systems
* Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
* Use of learning classifier systems in microscopic toll plaza simulation models
* User-perceived styling experience of smart vehicles: A method to combine eye tracking with semantic differences
* Using GLCM features in Haar wavelet transformed space for moving object classification
* V2V-based method for the detection of road traffic congestion
* Vehicle classification approach based on the combined texture and shape features with a compressive DL
* Vehicle departure pattern and queue length prediction at an isolated intersection with automatic vehicle identity detection
* Vehicle type detection and passenger satisfaction analysis using smartphone sensors and digital surveys
* Vehicle-to-vehicle communication based on a peer-to-peer network with graph theory and consensus algorithm
* Verifying driver performance for heavy haulage fatigue management
* Video-based method for detecting potential risks among multiple electric bikes
* Vision-based inter-vehicle distance estimation for driver alarm system
* Vision-based road slope estimation methods using road lines or local features from instant images
* Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machine
* VRDD: vehicular relevance-based data dissemination in a vehicular ad hoc network
* VSP-based emission factor calibration and signal timing optimisation for arterial streets
* What contextual and demographic factors predict drivers' decision to engage in secondary tasks?
* Young people use their smartphone all the time- even when crossing the street?
212 for IET-ITS(13)

IET-ITS(14) * *Guest Editorial: AI Applications to Intelligent Vehicles for Advancing Intelligent Transport Systems
* *Guest Editorial: Innovative Data, Methodology and Technology for Future Transportation Systems: Selected Papers from the 19th COTA International Conference of Transportation Professionals
* *Guest Editorial: Intelligent Transportation Systems in Smart Cities for Sustainable Environments (SCfSE)
* *Guest Editorial: Intelligent Transportation Systems in Smart Cities for Sustainable Environments (SCfSE)
* *Guest Editorial: Scientific Seminar of the Italian Association of Transport Academicians (SIDT) 2019
* 2-dimensional human-like driver model for autonomous vehicles in mixed traffic
* Accident-related cost analysis and decision-making support through econometric modelling
* Adaptive fuzzy optimal control for a class of active suspension systems with full-state constraints
* Adaptive neural network-based fault-tolerant trajectory-tracking control of unmanned surface vessels with input saturation and error constraints
* Adaptive non-linear coordinated optimal dynamic platoon control of connected autonomous distributed electric vehicles on curved roads
* Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning
* Adaptive transitions for automation in cars, trucks, buses and motorcycles
* Advanced framework for microscopic and lane-level macroscopic traffic parameters estimation from UAV video
* Analyses on the heterogeneity of car-following behaviour: evidence from a cross-cultural driving simulator study
* Analysing the relationship between weather, built environment, and public transport ridership
* Analysis of overlapping origin-destination pairs between bus stations to enhance the efficiency of bus operations
* Analysis of road travel behaviour based on big trajectory data
* Analysis of the departure time choices of metro passengers during peak hours
* Analysis on cruising process for on-street parking using an spectral clustering method
* Analysis on fatigue life of overhead travelling crane girder under impact load for sustainable transport system
* Autonomous road vehicles: recent issues and expectations
* Bandwidth optimisation and parameter analysis at two adjacent intersections based on set operations
* Behavioural validity of driving simulators for prototype HMI evaluation
* Bio-inspired metaheuristic framework for clustering optimisation in VANETs
* Blockchain-enabled virtual coupling of automatic train operation fitted mainline trains for railway traffic conflict control
* Bus arrival time prediction and measure of uncertainties using survival models
* Bus scheduling considering trip-varying travel times, vehicle availability and capacity
* Bézier curve-based trajectory planning for autonomous vehicles with collision avoidance
* Cellular automata models for signalised and unsignalised intersections with special attention to mixed traffic flow: a review
* Central threat register- a complex system for risk analysis and decision support in railway transport
* Characterisation of the impacts of autonomous driving on highway capacity in a mixed traffic environment: an agent-based approach
* CogITS: cognition-enabled network management for 5G V2X communication
* Coherence analysis of road safe speed and driving behaviour from floating car data
* Combination of HF set and MCDM for stable clustering in VANETs
* Comment on SFVCC: Chaotic map-based security framework for vehicular cloud computing
* Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA
* Connected component analysis integrated edge based technique for automatic vehicular license plate recognition framework
* Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems
* Convolutional LSTM based transportation mode learning from raw GPS trajectories
* Cooperative adaptive cruise control and intelligent traffic signal interaction: a field operational test with platooning on a suburban arterial in real traffic
* Cooperative bypassing algorithm for connected and autonomous vehicles in mixed traffic
* Cooperative control of connected hybrid electric vehicles and traffic signals at isolated intersections
* Cooperative control strategies to stabilise the freeway mixed traffic stability and improve traffic throughput in an intelligent roadside system environment
* Coordinated control of steer-by-wire and brake-by-wire for autonomous emergency braking on split-µ roads
* Coordinated decisions of discretionary lane change between connected and automated vehicles on freeways: a game theory-based lane change strategy
* Crack damage identification and localisation on metro train bogie frame in IoT using guided waves
* Crowd intelligence for sustainable futuristic intelligent transportation system: a review
* Crowding prediction on mass rapid transit systems using a weighted bidirectional recurrent neural network
* Cryptographic keys exchange model for smart city applications
* CVRRSS-CHD: Computer vision-related roadside surveillance system using compound hierarchical-deep models
* Data envelopment analysis based efficiency measurement of engineering change controlling for infrastructure construction under integrated project delivery mode
* Deep learning enabled vehicle trajectory map-matching method with advanced spatial-temporal analysis
* Deep learning-based vehicle occupancy detection in an open parking lot using thermal camera
* Deep reinforcement-learning-based driving policy for autonomous road vehicles
* Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network
* Design and optimisation of multimodal traffic strategy for low-mobility individuals
* Developing a dynamic utilisation scheme for exclusive bus lanes on urban expressways: an enhanced CTM-based approach versus a microsimulation-based approach
* Development of platoon-based actuated signal control systems to coordinated intersections: application in corridors in Houston
* Directionality-centric bus transit network segmentation for on-demand public transit
* Distributed predictive cruise control based on reinforcement learning and validation on microscopic traffic simulation
* Driver emotion recognition of multiple-ECG feature fusion based on BP network and D-S evidence
* Driver identification using 1D convolutional neural networks with vehicular CAN signals
* Driving on GWB: energy-efficiency-driven route optimisation for EVs
* Driving policies of V2X autonomous vehicles based on reinforcement learning methods
* Dynamic motion planner with trajectory optimisation for automated highway lane-changing driving
* Dynamic real-time high-capacity ride-sharing model with subsequent information
* Eco-driving control for hybrid electric trams on a signalised route
* EDF-LPR: a new encoder-decoder framework for license plate recognition
* Effect of vehicle composition on saturation flow at signalised intersections in mixed traffic conditions
* Efficient deep learning based method for multi-lane speed forecasting: a case study in Beijing
* Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system
* Energy-efficient approach combining train speed profile and timetable optimisations for metro operations
* Energy-efficient workload allocation in fog-cloud based services of intelligent transportation systems using a learning classifier system
* Estimation of link-cost function for cyclists based on stochastic optimisation and GPS traces
* Evaluating the likely temporal variation in electric vehicle charging demand at popular amenities using smartphone locational data
* Evaluation of a variable speed limit system using a hierarchical framework under a connected vehicles environment: a case study of a field test in Seattle
* Event-triggered intelligent energy management strategy for plug-in hybrid electric buses based on vehicle cloud optimisation
* Examining regional mobility patterns of public transit and automobile users based on the smart card and mobile Internet data: a case study of Chengdu, China
* Expanding vision-based ADAS for non-structured environments
* Fast and robust approaches for lane detection using multi-camera fusion in complex scenes
* Fault detection and integrity monitoring of GNSS positioning in intelligent transport systems
* Feasibility of a kneeling train to improve platform-train interface for passenger boarding and alighting
* Field data application of a non-lane-based multi-class traffic flow model
* Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis
* Finite-time active shimmy control based on uncertain disturbance observer for electric vehicle with independent suspension
* Finite-time spatial path following control for a robotic underactuated airship
* Finite-time trajectory tracking control for autonomous airships with uncertainties and external disturbances
* Forecasting usage and bike distribution of dockless bike-sharing using journey data
* FRAC: a flexible resource allocation for vehicular cloud system
* Further comments on SFVCC: Chaotic map-based security framework for vehicular cloud computing
* Future trends of ITS in difficult times: A message from the new Editor-in-Chief of IET Intelligent Transport Systems
* Fuzzy hybrid framework with dynamic weights for short-term traffic flow prediction by mining spatio-temporal correlations
* Fuzzy self-adaptive proportional-integral-derivative control strategy for ramp metering at distance downstream bottlenecks
* Gain-scheduling control of dynamic lateral lane change for automated and connected vehicles based on the multipoint preview
* Gauss mixture hidden Markov model to characterise and model discretionary lane-change behaviours for autonomous vehicles
* Gaussian learning-based fuzzy predictive cruise control for improving safety and economy of connected vehicles
* Hierarchical quantitative analysis to evaluate unsafe driving behaviour from massive trajectory data
* Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
* High-accuracy vehicle lamp detection for real-time night-time traffic surveillance
* Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?
* Hybrid model for predicting anomalous large passenger flow in urban metros
* Hybrid strategy for traffic light detection by combining classical and self-learning detectors
* Identification of contributing factors on travel mode choice among different resident types with bike-sharing as an alternative
* Identifying commuters based on random forest of smartcard data
* Impact of train positioning inaccuracies on railway traffic management systems: framework development and impacts on TMS functions
* Impacts of bus stop location and berth number on urban network traffic performance
* Improved detection method for traffic signs in real scenes applied in intelligent and connected vehicles
* Influence of wireless communication transport latencies and dropped packages on vehicle stability with an offsite steering controller
* Integrated strategy for vehicle dynamics stability considering the uncertainties of side-slip angle
* Integrated tracking and route classification for travel time estimation based on cellular network signalling data
* Integrating tools for an effective testing of connected and automated vehicles technologies
* Intelligent estimation for electric vehicle mass with unknown uncertainties based on particle filter
* Intelligent vehicle control at signal-free intersection under mixed connected environment
* Internet of things assisted public security management platform for urban transportation using hybridised cryptographic-integrated steganography
* Intersection traffic signal optimisation considering the impact of upstream curbside bus stops
* Investigating impact of the heterogeneity of trajectory data distribution on origin-destination estimation: A spatial statistics approach
* Investigation on linearisation of data-driven transport research: Two representative case studies
* Iterative learning of an unknown road path through cooperative driving of vehicles
* Joint vehicle detection and distance prediction via monocular depth estimation
* Lane-changing decision method based Nash Q-learning with considering the interaction of surrounding vehicles
* Lane-keeping system design considering driver's nervousness via scene analysis
* Large-scale road safety evaluation using extreme value theory
* License plate segmentation and recognition system using deep learning and OpenVINO
* LightGBM-based model for metro passenger volume forecasting
* Localisation algorithm for security access control in railway communications
* Location-based data delivery between vehicles and infrastructure
* Long short-term memory and convolutional neural network for abnormal driving behaviour recognition
* Longitudinal and lateral control of autonomous vehicles in multi-vehicle driving environments
* Look ahead: understanding cognitive anticipatory processes based on situational characteristics in dynamic traffic situations
* Low-cost bus seating information technology system
* Methodology for O-D matrix estimation using the revealed paths of floating car data on large-scale networks
* Methodology of hierarchical collision avoidance for high-speed self-driving vehicle based on motion-decoupled extraction of scenarios
* Mining the spatio-temporal pattern using matrix factorisation: A case study of traffic flow
* Mitigating errors of predicted delays of a train at neighbouring stops
* Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming
* MobileNet-SSD MicroScope using adaptive error correction algorithm: real-time detection of license plates on mobile devices
* Model adaptive torque control and distribution with error reconstruction strategy for RWID EVs
* Model predictive coordinated control of heavy-duty vehicle using non-linear three-directional coupled model
* Modelling and simulation of a new urban freight distribution system based on automatic van platooning and fixed split up locations
* Modelling and simulation of hierarchical scheduling of real-time responsive customised bus
* Modelling heterogeneous traffic dynamics by considering the influence of V2V safety messages
* Modelling large vehicles operating speed characteristics on freeway alignment based on aggregated GPS data
* Modelling merging behaviour joining a cooperative adaptive cruise control platoon
* Modelling the operation of vehicles at signalised intersections with special width approach lane based on field data
* Monitoring truck's operations at freight intermodal terminals: traffic observation by scanning on-board devices
* Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm
* Multi-camera multiple vehicle tracking in urban intersections based on multilayer graphs
* Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
* Multi-modal vehicle trajectory prediction based on mutual information
* Multi-mode human-machine cooperative control for lane departure prevention based on steering assistance and differential braking
* Multi-mode switching-based model predictive control approach for longitudinal autonomous driving with acceleration estimation
* Multi-model adaptive predictive control for path following of autonomous vehicles
* Multi-step traffic speed prediction model with auxiliary features on urban road networks and its understanding
* Multi-task deep learning with optical flow features for self-driving cars
* Multiple object tracking using a dual-attention network for autonomous driving
* Multistation coordinated and dynamic passenger inflow control for a metro line
* New transit signal priority scheme for intersections with nearby bus rapid transit median stations
* Novel dual-layer-oriented strategy for fully automated vehicles' lane-keeping system
* Novel mathematical model to determine geo-referenced locations for C-ITS communications to generate dynamic vehicular gaps
* Online estimation of inertial parameter for lightweight electric vehicle using dual unscented Kalman filter approach
* Optimal resource utilisation algorithm for visible light communication-based vehicular ad-hoc networks
* Passenger inflow control with hierarchical coordination for overloaded metro lines
* Path planning for UAV/UGV collaborative systems in intelligent manufacturing
* Path tracking control based on tube MPC and time delay motion prediction
* Pedestrian motion recognition via Conv-VLAD integrated spatial-temporal-relational network
* Penetration effect of connected and automated vehicles on cooperative on-ramp merging
* Perception of autonomous vehicles by the modern society: a survey
* Placement optimisation for station-free bicycle-sharing under 1D distribution assumption
* Power charging management strategy for electric vehicles based on a Stackelberg game
* Powered-two-wheelers and smart cities: the case of variable message signs
* Practical algorithms for allocating the roadside units in VANET
* Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
* Predicting station level demand in a bike-sharing system using recurrent neural networks
* Prediction of vehicle energy consumption on a planned route based on speed features forecasting
* Predictive kinetic energy management for an add-on driver assistance eco-driving of heavy vehicles
* Predictive model for battery life in IoT networks
* Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach
* Psychological and environmental factors affecting driver's frequent lane-changing behaviour: a national sample of drivers in China
* R&D investment in new energy vehicles with purchase subsidy based on technology adoption life cycle and customers' choice behaviour
* Real-time estimation and prediction of lateral stability of coaches: a hybrid approach based on EKF, BPNN, and online autoregressive integrated moving average algorithm
* Real-time running detection system for UAV imagery based on optical flow and deep convolutional networks
* Receding horizon optimal control of HEVs with on-board prediction of driver's power demand
* Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms
* Research on subway pedestrian detection algorithms based on SSD model
* Review and synthesis of Big Data analytics and computing for smart sustainable cities
* Rider model identification: neural networks and quasi-LPV models
* Risk evaluation system of navigation security based on coupled wind and wave model: a case of study of Qiongzhou strait
* Road traffic network state prediction based on a generative adversarial network
* Robust fault-tolerant H 8 output feedback control of active suspension and dynamic vibration absorber with finite-frequency constraint
* Robust multi-lane detection method based on semantic discrimination
* Robust multi-objective vehicle routing problem with time windows for hazardous materials transportation
* Safety assessment of local cooperative warnings and speed limit information
* Safety assessment of vehicle behaviour based on the improved D-S evidence theory
* Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification
* Semi-supervised double duelling broad reinforcement learning in support of traffic service in smart cities
* Sensor fault estimation of networked vehicle suspension system with deny-of-service attack
* Seoul bike trip duration prediction using data mining techniques
* Sequence-based centrality measures in maritime transportation networks
* SFVCC: Chaotic map-based security framework for vehicular cloud computing
* SFVCC: Chaotic map-based security framework for vehicular cloud computing
* Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation
* Short-term traffic congestion prediction with Conv-BiLSTM considering spatio-temporal features
* Short-term traffic flow prediction of road network based on deep learning
* Simulation framework for pedestrian dynamics: modelling and calibration
* Simulation study on the effect of automated driving in a road network environment
* Spatio-temporal expand-and-squeeze networks for crowd flow prediction in metropolis
* Speed harmonisation and merge control using connected automated vehicles on a highway lane closure: a reinforcement learning approach
* Speed sign recognition in complex scenarios based on deep cascade networks
* Study on intelligent algorithm of guide partition for emergency evacuation of a subway station
* Sustainable transportation system for electronic waste recycling from a social perspective
* Three-dimensional trajectory tracking of an underactuated AUV based on fuzzy dynamic surface control
* Three-stage RGBD architecture for vehicle and pedestrian detection using convolutional neural networks and stereo vision
* Time-aware gated recurrent unit networks for forecasting road surface friction using historical data with missing values
* Topological manifold-based monitoring method for train-centric virtual coupling control systems
* Towards affect-aware vehicles for increasing safety and comfort: recognising driver emotions from audio recordings in a realistic driving study
* Traffic management system for smart road networks reserved for self-driving cars
* Traffic sign recognition by combining global and local features based on semi-supervised classification
* Trajectory prediction for intelligent vehicles using spatial-attention mechanism
* Transition characteristics of driver's intentions triggered by emotional evolution in two-lane urban roads
* Two-step method to reduce metro transit energy consumption by optimising speed profile and timetable
* Understanding the distraction and behavioural adaptations of drivers when experiencing failures of digital side mirrors
* Urban road traffic condition forecasting based on sparse ride-hailing service data
* Urban traffic flow online prediction based on multi-component attention mechanism
* Use of ubiquitous real-time bus passenger information
* Using Sky-pointing fish-eye camera and LiDAR to aid GNSS single-point positioning in urban canyons
* Utilising bidirectional inequality constraints in optimal robust control for heterogeneous vehicular platoons
* Vehicle collision avoidance motion planning strategy using artificial potential field with adaptive multi-speed scheduler
* Vehicle counting and traffic flow parameter estimation for dense traffic scenes
* Vehicle platooning with constant spacing strategies and multiple vehicle look ahead information
* Vehicle safety analysis at non-signalised intersections at different penetration rates of collision warning systems
* Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm
* Vision-aided intelligent vehicle sideslip angle estimation based on a dynamic model
* Vision-based approach for predicting the probability of vehicle-pedestrian collisions at intersections
* Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks
* Will the vehicle restriction policy maintain a long-term deterrent effect?
235 for IET-ITS(14)

IET-ITS(15) * Adaptive distributed finite-time fault-tolerant controller for cooperative braking of the vehicle platoon
* Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
* agile vehicle-based dynamic user equilibrium scheme for urban traffic signal control, An
* Analysing public acceptance of autonomous buses based on an extended TAM model
* Analytical approximation for macroscopic fundamental diagram of urban corridor with mixed human and connected and autonomous traffic
* Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram
* Automatic generation of optimal road trajectory for the rescue vehicle in case of emergency on mountain freeway using reinforcement learning approach
* Backpressure control with estimated queue lengths for urban network traffic
* Bike-sharing systems with a dual selection mechanism and a dynamic double-threshold repositioning policy
* C-ITS road-side unit deployment on highways with ITS road-side systems: A techno-economic approach
* centralised training algorithm with D3QN for scalable regular unmanned ground vehicle formation maintenance, A
* City buses' future velocity prediction for multiple driving cycle: A meta supervised learning solution
* Coordinated formation control for intelligent and connected vehicles in multiple traffic scenarios
* CSNet: Cascade stereo matching network using multi-information cost volume
* CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
* data-driven chassis coordination control strategy, A
* Deep adaptive learning for safe and efficient navigation of pedestrian dynamics
* deep network with analogous self-attention for short-term traffic flow prediction, A
* Deep Q-network implementation for simulated autonomous vehicle control
* deep sequence-to-sequence method for accurate long landing prediction based on flight data, A
* Deep tree neural network for multiple-time-step prediction of short-term speed and confidence estimation
* Detecting and interpreting non-recurrent congestion from traffic and social media data
* Detecting phone-related pedestrian distracted behaviours via a two-branch convolutional neural network
* Detection method of eyes opening and closing ratio for driver's fatigue monitoring
* Distributed adaptive robust H8 control of intelligent-connected electric vehicles platooning subject to communication delay
* domain-of-influence based pricing strategy for task assignment in crowdsourcing package delivery, A
* Driver activity recognition using spatial-temporal graph convolutional LSTM networks with attention mechanism
* Dynamic coordinated control strategy of autonomous vehicles during emergency braking under split friction conditions
* Dynamic wireless power transfer system for electric-powered connected and autonomous vehicle on urban road network
* Ecological cooperative adaptive cruise control of over-actuated electric vehicles with in-wheel motor in traffic flow
* Effectiveness of incentives offered by mobile phone app to encourage cycling: A long-term study
* efficient and layout-independent automatic license plate recognition system based on the YOLO detector, An
* Ego-lane index-aware vehicular localisation using the DeepRoad Network for urban environments
* End-to-end autonomous driving decision model joined by attention mechanism and spatiotemporal features
* Energy recovery strategy for regenerative braking system of intelligent four-wheel independent drive electric vehicles
* Energy-efficient train operation with steep track and speed limits: A novel Pontryagin's maximum principle-based approach for adjoint variable discontinuity cases
* Ensemble machine learning based driving range estimation for real-world electric city buses by considering battery degradation levels
* EP-LSTM: Novel prediction algorithm for moving object destination
* estimation framework to quantify railway disruption parameters, An
* Evaluation of data-driven performance measures for comparing and ranking traffic bottlenecks
* Evaluation of emergency driving behaviour and vehicle collision risk in connected vehicle environment: A deep learning approach
* Evaluation of small unmanned aerial system highway volume and speed-sensing applications
* Evolution test by improved genetic algorithm with application to performance limit evaluation of automatic parallel parking system
* Evolution towards optimal driving strategies for large-scale autonomous vehicles
* Exploring longitudinal driving behaviour on a freeway deceleration lane using field operational test data
* Extraction of optimal fatigue-driving steering indicators considering individual differences
* field study investigating road safety effects of a front brake light, A
* Generation and prediction of flight delays in air transport
* guaranteed collision-free trajectory planning method for autonomous parking, A
* High-performance traffic speed forecasting based on spatiotemporal clustering of road segments
* highly efficient framework for outlier detection in urban traffic flow, A
* HSS-based robust and lightweight multiple group authentication for ITS towards 5G, An
* Impact of connected vehicle environment on driving performance: A case of an extra-long tunnel scenario
* Improve adaptive cruise control under driver distraction: Time headway compensation based on a random-effect crash risk model
* improved multiple manoeuver management protocol for platoon mobility in vehicular ad hoc networks, An
* integrated model for train rescheduling and station track assignment, An
* Intelligent IoT systems for traffic management: A practical application
* Interest flooding attack mitigation in a vehicular named data network
* Joint use of DSRC and C-V2X for V2X communications in the 5.9 GHz ITS band
* Large-scale implementation of floating car data monitoring road friction
* Long short-term memory based anomaly detection: A case study of China railway passenger ticketing system
* Machine learning and whale optimization algorithm based design of energy management strategy for plug-in hybrid electric vehicle
* Modeling and evaluation of a ridesharing matching system from multi-stakeholders' perspective
* Multi-objective optimization of cordon sanitaire with vehicle waiting time constraint
* Multi-scale pedestrian detection based on self-attention and adaptively spatial feature fusion
* multi-step airport delay prediction model based on spatial-temporal correlation and auxiliary features, A
* negotiation-based right-of-way assignment strategy to ensure traffic safety and efficiency in lane changes, A
* novel compression approach for truck GPS trajectory data, A
* Obstacle detection and tracking algorithm based on multi-lidar fusion in urban environment
* Optimal road grade design based on stochastic speed trajectories for minimising transportation energy consumption
* Optimal roundabout control under fully connected and automated vehicle environment
* Optimization approach to the aircraft weight and balance problem with the centre of gravity envelope constraints
* Parameter-space-based robust control of event-triggered heterogeneous platoon
* Personalized path generation and robust H8 output-feedback path following control for automated vehicles considering driving styles
* Phone-vehicle trajectory matching framework based on ALPR and cellular signalling data
* Planning flexible and smooth paths for lane-changing manoeuvres of autonomous vehicles
* PLSAV: Parallel loop searching and verifying for loop closure detection
* Predictive modelling of fuel shortages during hurricane evacuation: An epidemiological approach
* Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
* priority tree based coordination method for intelligent and connected vehicles at unsignalized intersections, A
* Proposal of an integrated platoon-based Round-Robin algorithm with priorities for intersections with mixed traffic flows
* Rail transit OD-matrix completion via manifold regularized tensor factorisation
* Real-time coordination of connected vehicles at intersections using graphical mixed integer optimization
* Real-time CVSA decals recognition system using deep convolutional neural network architectures
* Real-time predictive coordination based on vehicle-triggered platoon dispersion in a low penetration connected vehicle environment
* Real-time predictive eco-driving assistance considering road geometry and long-range radar measurements
* Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework
* Research on adaptive cruise control algorithm considering road conditions
* Research on origin-destination travel demand prediction method of inter-regional online taxi based on SpatialOD-BiConvLSTM
* Resilient path-following control of autonomous vehicles subject to intermittent denial-of-service attacks
* Review and performance evaluation of path tracking controllers of autonomous vehicles
* review of system integration and current integrity monitoring methods for positioning in intelligent transport systems, A
* review on key challenges in intelligent vehicles: Safety and driver-oriented features, A
* Roadside pedestrian motion prediction using Bayesian methods and particle filter
* Robust temporal low-rank representation for traffic data recovery via fused LASSO
* Safety guaranteed longitudinal motion control for connected and autonomous vehicles in a lane-changing scenario
* Scheduling-measure dependent modelling of delay propagation on a single railway line: A matrix transformation approach
* scientometric review of research on traffic forecasting in transportation, A
* SDN empowered location aware routing for energy efficient next generation vehicular networks, An
* Service quality evaluation of bus lines based on improved momentum back-propagation neural network model: A study of Hangzhou in China
* Short-term railway passenger demand forecast using improved Wasserstein generative adversarial nets and web search terms
* Signalised intersection control in a connected vehicle environment: User throughput maximisation strategy
* Social graph convolutional LSTM for pedestrian trajectory prediction
* Spatial-temporal attention wavenet: A deep learning framework for traffic prediction considering spatial-temporal dependencies
* specific perspective: Subway driver behaviour recognition using CNN and time-series diagram, A
* Study on stability and scalability of vehicular platoon with a bidirectional ring interconnection
* systematic literature review of vehicle speed assistance in intelligent transportation system, A
* Time-dependent lane change trajectory optimisation considering comfort and efficiency for lateral collision avoidance
* Towards multilingual end-to-end speech recognition for air traffic control
* Trajectory planning and tracking control of unmanned ground vehicle leading by motion virtual leader on expressway
* Trip destination prediction based on a deep integration network by fusing multiple features from taxi trajectories
* TSDCN: Traffic safety state deep clustering network for real-time traffic crash-prediction
* two-stage method for bus passenger load prediction using automatic passenger counting data, A
* two-step abnormal data analysis and processing method for millimetre-wave radar in traffic flow detection applications, A
* UGV-UAV robust cooperative positioning algorithm with object detection
* Understanding the influence of state of health on the range anxiety of battery electric vehicle drivers
* Using spatio-temporal deep learning for forecasting demand and supply-demand gap in ride-hailing system with anonymised spatial adjacency information
* Vision-based vehicle speed estimation: A survey
118 for IET-ITS(15)

IET-ITS(16) * 2.5D vehicle odometry estimation
* accumulation cost of relaxed fixed time accumulation mode, The
* Activity location recognition from mobile phone data using improved HAC and Bi-LSTM
* Adaptive backstepping controller design of quadrotor biplane for payload delivery
* Adaptive personalized routing for vulnerable road users
* Advanced post-impact safety and stability control for electric vehicles
* Analysis of visual risk perception model for braking control behaviour of human drivers: A literature review
* Analyzing the multi-scale characteristic for online car-hailing traffic volume with quantum walk
* Attention-Based Multi-Scale Feature Fusion for Free-Space Detection
* Automatic emergency braking/anti-lock braking system coordinated control with road adhesion coefficient estimation for heavy vehicle
* Autonomous vehicles' intended cooperative motion planning for unprotected turning at intersections
* CAE-GAN: A hybrid model for vehicle trajectory prediction
* classification method for urban functional regions based on the transfer rate of empty cars, A
* Cognitive selection of driving automation levels in highly automated vehicles leveraging on Bayesian networking principles
* Continuous decision-making for autonomous driving at intersections using deep deterministic policy gradient
* cooperative lane change approach for heterogeneous platoons under different communication topologies, A
* CT2-MDS: Cooperative trust-aware tolerant misbehaviour detection system for connected and automated vehicles
* CurSeg: A pavement crack detector based on a deep hierarchical feature learning segmentation framework
* Cyber-physical description and CPS-based pinning approach of mixed traffic
* Data-driven flight time prediction for arrival aircraft within the terminal area
* Deep learning-based hybrid model for the behaviour prediction of surrounding vehicles over long-time periods
* Deep reinforcement learning based active safety control for distributed drive electric vehicles
* Developing a situation and threat assessment framework for a next generation roadside animal detection system
* Directed hypergraph attention network for traffic forecasting
* distributed trajectory control strategy for the connected automated vehicle in an isolated roundabout, A
* domain-adaptive method with cycle perceptual consistency adversarial networks for vehicle target detection in foggy weather, A
* Dynamic driving intention recognition of vehicles with different driving styles of surrounding vehicles
* ECCNet: Efficient chained centre network for real-time multi-category vehicle tracking and vehicle speed estimation
* eco-driving approach for ride comfort improvement, An
* Energy-efficient control of a train considering multi-trains power flow
* Energy-efficient train control considering the traction system efficiency
* Energy-optimal study integrated speed trajectories, timetable and the layout of neutral sections for high-speed railway
* Equity-oriented vehicle routing optimization for catering distribution services with timeliness requirements
* Event-triggered optimisation of overtaking decision-making strategy for autonomous driving on highway
* Evidence on impacts of automated vehicles on traffic flow efficiency and emissions: Systematic review
* Exploration of the spatiotemporal heterogeneity of metro ridership prompted by built environment: A multi-source fusion perspective
* Fairness concern-based coordinated vehicle route guidance using an asymmetrical congestion game
* Finite time observer-based super-twisting sliding mode control for vehicle platoons with guaranteed strong string stability
* Flight delay forecasting and analysis of direct and indirect factors
* Graph attention network for Car-Following Model under game between desired and real state
* GSA-ELM: A hybrid learning model for short-term traffic flow forecasting
* Guest editorial: Decision making and control for connected and automated vehicles
* Handling stability control strategy for four-wheel hub motor-driven vehicle based on adaptive control for road adhesion
* Health diagnosis of bus operation based on multi-source data
* Heuristic approach for the multiobjective optimization of the customized bus scheduling problem
* hybrid deep and machine learning model for short-term traffic volume forecasting of adjacent intersections, A
* impact of ride-hailing services on the use of traditional taxis: Evidence from Chinese urban panel data, The
* Improved longitudinal control strategy for connected and automated truck platoon against cyberattacks
* Improved model-free adaptive predictive control-based cooperative driving control for connected and automated vehicles subject to time-varying communication delays and packet losses at signal-free intersections
* Improved model-free adaptive predictive control-based cooperative driving control for connected and automated vehicles subject to time-varying communication delays and packet losses at signal-free intersections
* improved sliding mode control (SMC) approach for enhancement of communication delay in vehicle platoon system, An
* improved tucker decomposition-based imputation method for recovering lane-level missing values in traffic data, An
* influence of landscape intervention used as an alertness maintaining tool on driving behaviour, The
* Influence of smartphone traffic application information on drivers' route choice behaviours
* Injury prediction algorithm for rear-seat occupants in advanced automatic crash notification systems
* integrated two-dimensional merging trajectory optimization model for automated vehicles considering mixed traffic flow, An
* Intelligent train operation based on deep learning from excellent driver manipulation patterns
* Intersection traffic deadlock formation and its probability: A petri net-based modeling approach
* IRLSOT: Inverse reinforcement learning for scene-oriented trajectory prediction
* lane changing time point and path tracking framework for autonomous ground vehicle, A
* lateral trajectory tracking control method for intelligent commercial vehicles considering active anti-roll decision based on Stackelberg equilibrium, A
* Logical consistency verification of state sensing in safety-critical decision: A case study of train routing selection
* Maximizing the latency fairness in UAV-assisted MEC system
* Meal delivery routing optimization with order allocation strategy based on transfer stations for instant logistics services
* Method for predicting the remaining mileage of electric vehicles based on dimension expansion and model fusion
* Method of railway shunting operation sheet information extraction guided by table header
* Modeling and analysis of driver behaviour under shared control through weighted visual and haptic guidance
* Modelling and performance analysis of Balise under dynamic energy harvesting in high-speed railway
* Modelling multiple quantiles together with the mean based on SA-ConvLSTM for taxi pick-up prediction
* Modelling the road network capacity considering residual queues and connected automated vehicles
* multi-channel geometric algebra residual network for traffic data prediction, A
* Multi-future Transformer: Learning diverse interaction modes for behaviour prediction in autonomous driving
* Multilayer structures and resilience evaluation for multimode regional rail transit system
* Multisource-multitarget cooperative positioning based on the fusion of inter-vehicle relative vector in internet of vehicles
* new braking torque distribution strategy based on braking actuator characteristics and a command signal for a blended braking system, A
* new theory of driver vision pressure energy field and its application in driver behaviour decision-making model, A
* Non-instinct detection of cellphone usage from lane-keeping performance based on eXtreme gradient boosting and optimal sliding windows
* novel hybrid model of ARIMA-MCC and CKDE-GARCH for urban short-term traffic flow prediction, A
* novel method for calibration and verification of roadside millimetre-wave radar, A
* novel method for the detection of road intersections and traffic rules using big floating car data, A
* Online vehicle trajectory compression algorithm based on motion pattern recognition
* Optimal running time supplement for the energy-efficient train control considering the section running time constraint
* partial cooperative control vehicle-to-vehicle trajectory planning algorithm with potential field constraints of arc-shaped road's boundary and vehicles' relative position, A
* Path tracking control for autonomous vehicles with saturated input: A fuzzy fixed-time learning control approach
* Petri-net-based deadlock detection and recovery for control of interacting equipment in automated container terminals
* Plithogenic multi-criteria decision making approach on airspace planning scheme evaluation based on ATC-flight real-time simulation
* Predicting aircraft taxiing estimated time of arrival by cluster analysis
* Prediction model for short-term traffic flow based on a K-means-gated recurrent unit combination
* Prioritization-based subsampling quality assessment methodology for mobility-related information systems
* Probabilistic context integration-based aircraft behaviour intention classification at airport ramps
* QPNet: Lane-changing trajectory planning combining quadratic programming and neural network under the convex optimization framework
* Quantifying the performance and optimizing the placement of roadside sensors for cooperative vehicle-infrastructure systems
* RAO-UNet: a residual attention and octave UNet for road crack detection via balance loss
* Real-time traffic cone detection for autonomous driving based on YOLOv4
* Recurrent neural network non-singular terminal sliding mode control for path following of autonomous ground vehicles with parametric uncertainties
* Reinforcement learning based mainline dynamic speed limit adjustment of expressway off-ramp upstream under connected and autonomous vehicles environment
* review of reinforcement learning applications in adaptive traffic signal control, A
* Road geometry perception without accurate positioning and lane information
* Route planning for electric vehicles
* Safety effect analysis of motorcycle V2I collision warning system
* Safety impact of cooperative adaptive cruise control vehicles' degradation under spatial continuous communication interruption
* sharing deep reinforcement learning method for efficient vehicle platooning control, A
* Signal timing parameters inference method at intersections using license plate recognition data
* Skip-stop operation plan for urban rail transit considering bounded rationality of passengers
* Spatiotemporal traffic data imputation via tensorial weighted Schatten-p norm minimization
* Speed behaviour of right-turn drivers at signalized intersections in China
* Stacking-based ensemble learning method for cognitive distraction state recognition for drivers in traditional and connected environments
* Stacking-based ensemble learning method for the recognition of the preceding vehicle lane-changing manoeuvre: A naturalistic driving study on the highway
* Stochastic scheduling of ground movement problem integrated with taxiway routing and gate/stand allocation
* Study of improved signal-based merge strategy in work zone areas based on Cellular Automata simulation
* Study on the local and global performance of homogeneous platoon with a bidirectional ring interconnection
* Traffic emissions management using capacity formulation and multi-modal road space allocation
* Traffic forecasting with missing data via low rank dynamic mode decomposition of tensor
* Train management in freight shunting yards: Formalisation and literature review
* Trajectory dimensionality reduction and hyperparameter settings of DBSCAN for trajectory clustering
* UAV-assisted data dissemination based on network coding in vehicular networks
* Using genetic programming on GPS trajectories for travel mode detection
* Vehicle localisation and deep model for automatic calibration of monocular camera in expressway scenes
* verification framework for behavioral safety of self-driving cars, A
119 for IET-ITS(16)

IET-ITS(17) * Activity-based model based on multi-day cellular data: Considering the lack of personal attributes and activity type
* Adaptive fuzzy sliding mode control for high-speed train using multi-body dynamics model
* Adaptive Gaussian mixture model for identifying outliers in historical route travel times
* Adaptive radial basis function sliding mode control for platoons under DoS attacks
* Addressing robust travel mode identification with individual trip-chain trajectory noise reduction
* Addressing spatial service provision equity for pooled ride-hailing services through rebalancing
* Advanced algorithms for optimal meeting points in road networks
* Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement learning
* Applying a hybrid model considering the interaction between train and power system for energy consumption surveys
* Arbitrary-oriented traffic participant detection and axis prediction for complex crossing road in aerial view
* Assessing the limits of centralized unmanned aerial vehicle conflict management in U-Space
* Attention mechanism-based model for short-term bus traffic passenger volume prediction
* Autonomous and collaborative trajectory planning for traffic complexity management
* autonomous emergency braking strategy based on non-linear model predictive deceleration control, An
* Binary residual feature pyramid network: An improved feature fusion module based on double-channel residual pyramid structure for autonomous detection algorithm
* Blinded windows and empty driver seats: The effects of automated vehicle characteristics on cyclists' decision-making
* Car-following trajectory data imputation with adversarial convolutional neural network
* CenLight: Centralized traffic grid signal optimization via action and state decomposition
* Centralized model-predictive cooperative and adaptive cruise control of automated vehicle platoons in urban traffic environments
* Cognition-inspired behavioural feature identification and motion planning ways for human-like automated driving vehicles
* cognition-inspired trajectory prediction method for vehicles in interactive scenarios, A
* comparative study of driver torque demand prediction methods, A
* Connected and automated vehicle platoon formation control via differential games
* Connected eco-driving for electric buses along signalized arterials with bus stops
* Context-aware target classification with hybrid Gaussian process prediction for cooperative vehicle safety systems
* Context-guided ground truth sampling for multi-modality data augmentation in autonomous driving
* Cooperative decision making for connected automated vehicles in multiple driving scenarios
* Coordinated multi-agent hierarchical deep reinforcement learning to solve multi-trip vehicle routing problems with soft time windows
* Customized bus scheme design of large transport terminals with jointly optimization of departure time, vehicle allocation and routing
* Cyberattacks on connected automated vehicles: A traffic impact analysis
* Decentralised CAVs based on micro-macro flow control (MiMaFC) strategy for multi-intersection traffic network
* deep learning and ensemble learning based architecture for metro passenger flow forecast, A
* Deep learning serves traffic safety analysis: A forward-looking review
* deep neural network model with GCN and 3D convolutional network for short-term metro passenger flow forecasting, A
* Deep representation of imbalanced spatio-temporal traffic flow data for traffic accident detection
* Developing speed-related safety performance indicators from floating car data
* DGPR-MPC: Learning-based model predictive controller for autonomous vehicle path following
* differentiated decision-making algorithm for automated vehicles based on pedestrian feature estimation, A
* DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles
* Distributed Fault-Tolerant Control for High-Speed Trains Based on Adaptive Terminal Sliding Mode Control
* distributed model predictive control method combined with delay compensator for multiple vehicle platoons, A
* Distributed model predictive control methods for intermodal transport cooperative planning based on ADMM
* Driver distraction detection via multi-scale domain adaptation network
* Driver identification through vehicular CAN bus data: An ensemble deep learning approach
* Drivers' usage of driving automation systems in different contexts: A survey in China, Germany, Spain and USA
* Dynamic data-driven computation method for the number of waiting passengers and waiting time in the urban rail transit network
* Dynamic identification of logistics critical roads based on BeiDou trajectory data
* Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning
* Dynamic traffic signal control using mean field multi-agent reinforcement learning in large scale road-networks
* energy-efficient train control approach with dynamic efficiency of the traction system, An
* Energy-efficient train timetabling for a medium-speed maglev line considering propulsion and suspension energy consumption
* Enhanced road information representation in graph recurrent network for traffic speed prediction
* ensemble learning method for low visibility prediction on freeway using meteorological data, An
* Evaluating efficiency of railway transportation based on cross-efficiency evaluation method and relative entropy evaluation method in China
* Evaluation of map-matching algorithms for smartphone-based active travel data
* Examining the feasibility of current spiral curve design controls for LiDAR-based automated vehicles
* Exploring the effects of measures of performance and calibration strategies on calibrating traffic microsimulation model: A quantitative analysis approach
* extendable maneuver management framework with fault-tolerant mechanism for vehicle platoon control system in highway scenario, An
* Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification
* Formation control for connected and automated vehicles on multi-lane roads: Relative motion planning and conflict resolution
* Framework and operation of digital twin smart freeway
* Front wheel angle control for steering system of intelligent commercial vehicle based on model predictive control
* GhostCount: A lightweight convolution network based on high-altitude video for vehicle instantaneous counting in dense traffic scenes
* Global spatio-temporal dynamic capturing network-based traffic flow prediction
* Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting
* Hedging risks in the C-ITS road-side unit investment case for Flanders: A real options approach
* Hierarchical cooperative eco-driving control for connected autonomous vehicle platoon at signalized intersections
* Hierarchical eco-driving control strategy for hybrid electric vehicle platoon at signalized intersections under partially connected and automated vehicle environment
* HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning
* Human-centric multimodal deep (HMD) traffic signal control
* Hybrid Models of Subway Passenger Flow Prediction Based on Convolutional Neural Network
* Hybrid railway vehicle trajectory optimisation using a non-convex function and evolutionary hybrid forecast algorithm
* Identifying and correcting the errors of vehicle trajectories from roadside millimetre-wave radars
* ImDeeplabV3plus with instance selective whitening loss in domain generalization semantic segmentation
* Impact of the tyre dynamics on autonomous vehicle path following control with front wheel steering and differential motor torque
* Impacts of advanced driver assistance systems on commercial truck driver behaviour performance using naturalistic data
* Improving traffic signal control operations using proximal policy optimization
* Improving traffic time-series predictability by imputing continuous non-random missing data
* Incremental equilibrium assignment and applications to traffic network model
* Influence of dedicated lanes for connected and automated vehicles on highway traffic flow
* Infrastructure camera calibration with GNSS for vehicle localisation
* Infrastructure-related challenges in implementing connected and automated vehicles on urban roads: Insights from experts and stakeholders
* integrated dependability guarantee provisioning for cluster-based IoV networks with slicing, An
* Integrated energy-efficient optimization for urban rail transit timetable
* Intelligent train stopping control for railways: A deep learning approach
* Introduction of emerging mobility services in rural areas through the use of mobile network data combined with activity-based travel demand modelling
* Investigating heterogeneity in travel behaviour change when implementing soft transport interventions: A latent class choice model
* Joint optimization combining the capacity of subway on-board energy storage device and timetable
* KGCN-LSTM: A graph convolutional network considering knowledge fusion of point of interest for vehicle trajectory prediction
* Lanczos method for spatio-temporal graph convolutional networks to forecast expressway flow
* Lane-changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller
* Lightweight lane line detection based on learnable cluster segmentation with self-attention mechanism
* Low-cost solid-state LiDAR/inertial-based localization with prior map for autonomous systems in urban scenarios
* Mass-based omni-directional risk indicator (MORI) for multi-participant traffic
* Model for the cooperative obstacle-avoidance of the automated vehicle swarm in a connected vehicles environment
* Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state-of-the-art
* multi-attention dynamic graph convolution network with cost-sensitive learning approach to road-level and minute-level traffic accident prediction, A
* Multilane freeway merging control via trajectory optimization in a mixed traffic environment
* Multiple auxiliary classifiers GAN for controllable image generation: Application to license plate recognition
* multiple spatio-temporal features fusion approach for short-term passenger flow forecasting in urban rail transit, A
* Networked predictive control method of multi-vehicle cooperative control at communication-constrained unsignalized multi-intersection
* New methods and functionalities for railway maintenance through a draisine prototype based on RADAR sensors
* novel approach for securing data against adversary attacks in UAV embedded HetNet using identity based authentication scheme, A
* novel e-bike energy management for improvement of the rider metabolism, A
* novel merging strategy model considering the remaining distance in the acceleration lane, A
* Optimal design method of public transit network considering transfer efficiency
* Optimal driving strategies for emergency operation of high-speed trains using on-board energy storage systems
* Optimal number and locations of automatic vehicle identification sensors considering link travel time estimation
* optimal trajectory planning for automated on-ramp merging, An
* Optimization of grounding resistance in multitrain DC subway system based on MOEA/D-DE
* Overall architecture and system design of shuttle unmanned ground vehicle with road verification in intelligent transportation system zone
* Park-and-ride choice behaviour under multimodal travel information: Analysis based on panel mixed logit model
* Parking space inventory from above: Detection on aerial images and estimation for unobserved regions
* Passenger-perception dynamic ridesharing service based on parallel technology
* Passing-yielding intention estimation during lane change conflict: A semantic-based Bayesian inference method
* Pedestrian potentially dangerous behaviour prediction based on attention-long-short-term memory with egocentric vision
* Pedestrian reported activity and information preference while waiting at a red light
* Pedestrians crossing intention anticipation based on dual-channel action recognition and hierarchical environmental context
* Performance evaluation of RW-Quadrotor and Bi-Quadrotor for payload delivery
* Predicting network flows from speeds using open data and transfer learning
* Pricing iterative optimization for multi-agent simulation of setting electric vehicle charging model in public parking lots
* Proactive integrated traffic control to mitigate congestion at toll plazas
* Proposing a kinematic wave-based adaptive transit signal priority control using genetic algorithm
* Prospects and challenges of Metaverse application in data-driven intelligent transportation systems
* Railway car routing optimization based on the coordinated utilization of station-line capacities
* Real-time passenger flow anomaly detection in metro system
* Research on conflict detection model for taxi-in process on the apron based on aircraft wingtip keypoint detection
* Research on train braking model by improved Polach model considering wheel-rail adhesion characteristics
* Ride-pooling in the light of COVID-19: Determining spatiotemporal demand characteristics on the example of MOIA
* Robust cooperative train trajectory optimization with stochastic delays under virtual coupling
* Rule-constrained reinforcement learning control for autonomous vehicle left turn at unsignalized intersection
* self-adaptive phase-segmentation and health assessment framework for point machines, A
* Self-organizing traffic control using carrying capacity modelling in adjacent weaving sections
* Semantics analysis model based on deep learning for vessel traffic service application
* Short-term passenger flow prediction for rail transit based on improved particle swarm optimization algorithm
* Short-term traffic flow prediction approach incorporating vehicle functions from RFID-ELP data for urban road sections
* Short-term traffic flow prediction based on AST-MTL-CNN-GRU
* Short-term traffic travel time forecasting using ensemble approach based on long short-term memory networks
* Spatial-temporal correlation graph convolutional networks for traffic forecasting
* Spatio-temporal adaptive graph convolutional networks for traffic flow forecasting
* Spatio-temporal decision-making and trajectory planning framework with flexible constraints in closed-loop dynamic traffic
* Spatiotemporal path inference model for urban rail transit passengers based on travel time data
* Spatiotemporal traffic data imputation by synergizing low tensor ring rank and nonlocal subspace regularization
* STLRF-Stack: A fault prediction model for pure electric vehicles based on a high dimensional imbalanced dataset
* Stochastic simulation-based optimization method for arterial traffic signal coordination with equity and efficiency consideration
* TLOF final approach methodology proposal utilizing dual landing pads
* Towards a more flexible demand responsive transit service with compensation mechanism considering boundedly rational passengers
* Towards Bi-Dimensional driver models for automated driving system safety requirements: Validation of a kinematic model for evasive lane-change maneuvers
* Tracking and measuring plumes from sailing ships using an unmanned aerial vehicle
* Traffic signal priority control based on shared experience multi-agent deep reinforcement learning
* Traffic speed prediction using GARCH-GRU hybrid model
* Trajectory prediction for autonomous driving based on multiscale spatial-temporal graph
* Transferable driver facial expression recognition based on joint discriminative correlation alignment network with enhanced feature attention
* Travel mode choice prediction based on personalized recommendation model
* Trend analysis of traffic management based on literature data mining and graph analysis tools
* two-stage algorithm for vehicle routing problem with charging relief in post-disaster, A
* two-step image stabilisation method for promoting visual quality in vision-enabled maritime surveillance systems, A
* UAV based adaptive trajectory tracking control with input saturation and unknown time-varying disturbances
* unified model for the fairness mechanism-based coordinated vehicle route guidance, A
* Urban road travel time prediction based on gated recurrent unit using internet data
* V2V-enabled cooperative adaptive cruise control strategy for improving driving safety and travel efficiency of semi-automated vehicle fleet
* validation study of a fixed-based, medium fidelity driving simulator for human-machine interfaces visual distraction testing, A
* vector field approach for identifying anomalous human mobility, A
* Virtual coupling of permanent magnetic maglev trains: An improved cooperative tracking and collision avoidance control protocol
* viscous continuum traffic flow model based on the cooperative car-following behaviour of connected and autonomous vehicles, A
* Whether and how congested is a road? Indices, updating strategy and a vision-based detection framework
* worker-and-system trade-off model for rebalancing free-float bike sharing systems: A mixed rebalancing strategy, A
167 for IET-ITS(17)

IET-ITS(18) * adaptive fuzzy control technique for a high-speed vehicular platoon experiencing communication delays, An
* Augmented driver behavior models for high-fidelity simulation study of crash detection algorithms
* CO2 emissions and delivery time of last-mile drone delivery using trucks
* Combining Weather Factors to Predict Traffic Flow: A Spatial-Temporal Fusion Graph Convolutional Network-Based Deep Learning Approach
* Contrastive learning for traffic flow forecasting based on multi graph convolution network
* Deadlock detection, cooperative avoidance and recovery protocol for mixed autonomous vehicles in unstructured environment
* Distributed adaptive time-varying formation of multi-UAV systems under undirected graph
* Distributed non-linear model predictive control with Gaussian process dynamics for two-dimensional motion of vehicle platoon
* effect of visibility on road traffic during foggy weather conditions, The
* Energy-efficiency optimization and control for electric vehicle platooning with regenerating braking
* Energy-efficient operation of medium-speed maglev through integrated traction and train control
* evaluation of lane management strategy for CAV priority in mixed traffic, An
* Exploring the association between socio-demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia
* Exploring the impacts of traffic flow states on freeway normal crashes, primary crashes, and secondary crashes
* Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data
* fuel consumption model for mixed traffic flow in multiple connected and autonomous scenarios, A
* GRASP-based request allocation and MDP-based vehicle routing in home pick-up service with service continuity consideration
* GSTGAT: Gated spatiotemporal graph attention network for traffic demand forecasting
* Guest Editorial: Modelling, operation and management of traffic mixed with connected and automated vehicles
* Lag-related noise shrinkage stacked LSTM network for short-term traffic flow forecasting
* Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM-GRA and CB-SEM approach with trajectory data
* LSTM-based deep learning framework for adaptive identifying eco-driving on intelligent vehicle multivariate time-series data
* MCAGCN: Multi-component attention graph convolutional neural network for road travel time prediction
* Modeling and simulation of charging characteristics of electric vehicle group under the mode of autonomous driving-shared travel
* multi-emission-driven efficient network design for green hub-and-spoke airline networks, A
* multi-emission-driven efficient network design for green hub-and-spoke airline networks, A
* Optimal dispatch of a mobile storage unit to support electric vehicles charging stations
* parking occupancy prediction method incorporating time series decomposition and temporal pattern attention mechanism, A
* Pedestrian intention estimation and trajectory prediction based on data and knowledge-driven method
* Positioning method of expressway ETC gantry by multi-source traffic data
* real-time critical-scenario-generation framework for defect detection of autonomous driving system, A
* Research on prediction method of expressway section traffic flow considering anomaly detection probability
* Risk-averse perimeter control for alleviating the congestion of an urban traffic network system with uncertainties
* risk-based driver behaviour model, A
* Short-term origin-destination demand forecasting in bus rapid transit based on dual attentive multi-scale convolutional network
* Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway
* Trip purpose prediction using travel survey data with POI information via gradient boosting decision trees
* Two-objective train operation optimization based on eco-driving and timetabling
38 for IET-ITS(18)

IET-ITS(2) * 3D vehicle detection using a laser scanner and a video camera
* Developing human-machine interaction components for a driver assistance system for safe speed and safe distance
* Integrated vehicle's lateral safety: the LATERAL SAFE experience
* Mobile mapping for the automated analysis of road signage and delineation
* Multi-feature walking pedestrians detection for driving assistance systems
* Real-time pedestrian classification exploiting 2D and 3D information
* Reflektas: lane departure prevention system based on behavioural control
7 for IET-ITS(2)

IET-ITS(3) * Application of automated video analysis for behavioural studies: concept and experience
* Map matching for intelligent speed adaptation
* Pedestrian detection using a single monochrome camera
* Robust traffic sign shape recognition using geometric matching
* Wide-angle camera technology for automotive applications: a review

IET-ITS(4) * Advanced traffic monitoring for sustainable traffic management: Experiences and results of five years of collaborative research in the Netherlands
* Automatic calibration of fish-eye cameras from automotive video sequences
* Enhancing the occlusion technique as an assessment tool for driver visual distraction
* Homography-based ground plane detection using a single on-board camera
* Measuring visual distraction in driving: The potential of head movement analysis

IET-ITS(5) * Assessing error recognition in automated driving
* Different forms of attentional disturbances involved in driving accidents
* Driver drowsiness detection system under infrared illumination for an intelligent vehicle
* Eigen-Based Traffic Sign Recognition
* Exploring end-user experiences: self-perceived notions on use of adaptive cruise control systems
* Lateral control assistance in car driving: Classification, review and future prospects
* Methods of evaluating electric vehicles from a user's perspective: The MINI E field trial in Berlin
* Mobile mapping system for the automated detection and analysis of road delineation
* Semi-autonomous advanced parking assistants: do they really have to be learned if steering is automated?
* Traffic control and intelligent vehicle highway systems: a survey
* Usability evaluation as part of iterative design of an in-vehicle information system
* Vision-based detection and tracking of vehicles to the rear with perspective correction in low-light conditions
12 for IET-ITS(5)

IET-ITS(6) * Advanced traveller information systems for intelligent future mobility: the case of Anachb in Vienna
* Agent-based test-bed for road information systems
* Aircraft retiming and rerouting in vicinity of airports
* Application of Mobility Management: A Web structure for the optimisation of the mobility of working staff of big companies
* Automatic detection of road traffic signs from natural scene images based on pixel vector and central projected shape feature
* Automotive standards-grade lane departure warning system
* Can drivers' eye movements be used to monitor their performance? a case study
* Comparative performance analysis of three classifiers for acoustic signal-based recognition of motorcycles using time- and frequency-domain features
* Comparison of driver behaviour and saturation flow in china and the netherlands
* Cooperative vehicle-infrastructure systems for improving driver information services: an analysis of COOPERS test results
* Coordinate model predictive control with neighbourhood optimisation for a signal split in urban traffic networks
* Cross-regional in-vehicle information system design: The preferences and comprehension of Australian, US and Chinese drivers
* Detection of human presence in a vehicle by vibration analysis
* Discriminatively trained patch-based model for occupant classification
* Distributed maximum likelihood estimation for flow and speed density prediction in distributed traffic detectors with gaussian mixture model assumption
* Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs
* Dynamic near-term traffic flow prediction: systemoriented approach based on past experiences
* effect of a new intercity expressway based on travel time reliability using electronic toll collection data, The
* Effects of manually entering navigator destinations while driving in a simulator
* Environmental wireless sensor network for road traffic applications
* Estimating origin-destination-matrices depending on the time of the day from high frequent pedestrian entry and exit counts
* Feasibility of expanding traffic monitoring systems with floating car data technology
* Focal design issues affecting the deployment of wireless sensor networks for intelligent transport systems
* Guideweb: a conceptually infrastructure-free vehicle navigation system
* Helmet presence classification with motorcycle detection and tracking
* Impact of driving characteristics on electric vehicle energy consumption and range
* Implications of the computational complexity of transit route network redesign for metaheuristic optimisation systems
* Incident management integration tool: dynamically predicting incident durations, secondary incident occurrence and incident delays
* Intelligent intersection support for powered two-wheeled riders: a human factors perspective
* Metaheuristic algorithms for the simultaneous slot allocation problem
* Method for quantitative valuation of road freight transport telematic services
* Method to detect malfunctioning traffic count stations
* Micro-routing using accurate traffic predictions
* Model for the safety impacts of road weather information services available to road users and related socio-economic benefits
* Multiple-camera lane departure warning system for the automotive environment
* Perceived usefulness of eco-driving assistance systems in Europe
* Performance evaluation of information propagation in vehicular ad hoc network
* Quantifying the impact of probe vehicle localisation data errors on signalised junction control
* Recognising daytime and nighttime driving images using bayes classifier
* Recognition of driving postures by contourlet transform and random forests
* Selecting telecommunications technologies for intelligent transport system services in Helsinki Municipality
* Techno-economic assessment of the potential of intelligent transport systems to reduce CO2 emissions
* Towards an automatic enforcement for speeding: Enhanced model and intelligent transportation systems realisation
* Trade-off between context and objectivity in an analytic approach to the evaluation of in-vehicle interfaces
* Traffic congestion identification based on image processing
* Urban freeway users' diversion response to variable message sign displaying the travel time of both freeway and local street
* Vehicle detection and tracking under various lighting conditions using a particle filter
* Vehicle-based sensor technologies for winter highway operations
* Vehicular ad hoc networks enabled traffic controller for removing traffic lights in isolated intersections based on integer linear programming
* Wireless sensor networks for traffic management and road safety
* Wireless technology applications to enhance traveller safety
51 for IET-ITS(6)

IET-ITS(7) * Agent-based approach for crowded pedestrian evacuation simulation
* Application of global positioning system and questionnaires data for the study of driver behaviour on two-lane rural roads
* Applications of real-time speed control in rail-bound public transportation systems
* Automated on-ramp merging control algorithm based on internet-connected vehicles
* Calibrating car-following parameters for snowy road conditions in the microscopic traffic simulator VISSIM
* Clustering multi-hop information dissemination method in vehicular ad hoc networks
* Daily use of an electric vehicle: behavioural changes and potential for its support
* Dilemma zone avoidance development: an on-board approach
* Directional lane-allocation concerning demand uncertainty
* Do drivers reduce their headway to a lead vehicle because of the presence of platoons in traffic? a conformity study conducted within a simulator
* Driver fatigue detection from electroencephalogram spectrum after electrooculography artefact removal
* Driver's fatigue expressions recognition by combined features from pyramid histogram of oriented gradient and contourlet transform with random subspace ensembles
* Drivers' willingness to engage with their mobile phone: The influence of phone function and road demand
* Dual-rate background subtraction approach for estimating traffic queue parameters in urban scenes
* Dynamic speed guidance for active highway signal coordination: roadside against in-car strategies
* Effective traffic management based on bounded rationality and indifference bands
* Emotional temporal difference Q-learning signals in multi-agent system cooperation: real case studies
* Enhancing privacy in collaborative traffic-monitoring systems using autonomous location update
* Evaluation of automated electric transportation deployment strategies: integrated against isolated
* Field evaluation of an enhanced rear signalling system for heavy trucks
* Gender and age-related differences in the perception of in-vehicle mobile phone usage among Portuguese drivers
* Geo-referencing naturalistic driving data using a novel method based on vehicle speed
* Guest editorial: Human-centred design and assessment of information technologies in traffic
* How to infer impacts of ITS services in different user cases
* Identification and analysis of motives for eco-friendly driving within the eco-move project
* Identifying critical incidents in naturalistic driving data: experiences from a promoting real life observation for gaining understanding of road user behaviour in europe small-scale field trial
* Identifying factors affecting drivers selection of unconventional outside left-turn lanes at signallised intersections
* Impact of a combined accelerator-brake pedal solution on efficient driving
* Influence of age, gender and delay on overtaking dynamics
* Influence of highway three-dimensional coordination on drivers perception of horizontal curvature and available sight distance
* Intelligent transport systems harmonisation assessment: Use case of some Spanish intelligent transport systems services
* Is ICT mature for an EU-wide intelligent transport system?
* ITS-based cooperative services development framework for improving safety of vulnerable road users
* Localisation of multiple faults in motorcycles based on the wavelet packet analysis of the produced sounds
* Method for estimating the energy consumption of electric vehicles and plug-in hybrid electric vehicles under real-world driving conditions
* Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition
* Modelling driving behaviour using hybrid automata
* Multi-sensor tracking and lane estimation in highly automated vehicles
* On optimal freeway local ramp metering using fuzzy logic control with particle swarm optimisation
* On-line map-matching framework for floating car data with low sampling rate in urban road networks
* Parameter optimisation of path-following fuzzy controller for a six-wheel lunar rover
* Proactive, knowledge-based intelligent transportation system based on vehicular sensor networks
* Real-time freeway sideswipe crash prediction by support vector machine
* Real-time speed profile calculation for fuel saving considering unforeseen situations and travel time
* Reducing local traffic emissions at urban intersection using ITS countermeasures
* Regularity analysis on bus networks and route directions by automatic vehicle location raw data
* Reported use of speed control systems: cruise control and speed limiter
* Robust detection system of illegal lane changes based on tracking of feature points
* Routing systems to extend the driving range of electric vehicles
* Statistical traffic state analysis in large-scale transportation networks using locality-preserving non-negative matrix factorisation
* Telematics system for the intelligent transport and distribution of medicines
* Trust-networks for changing driver behaviour during severe weather
* Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas
* Vehicle platoon and obstacle avoidance: A reactive agent approach
* Vehicle-to-infrastructure communication-based adaptive traffic signal control
55 for IET-ITS(7)

IET-ITS(8) * Acoustic signal based detection and localisation of faults in motorcycles
* Acoustic signal-based approach for fault detection in motorcycles using chaincode of the pseudospectrum and dynamic time warping classifier
* Active collision avoidance system for steering control of autonomous vehicles
* Anticipatory traveller information system for freeway-arterial networks
* Appearance-based approach to hybrid metric-topological simultaneous localisation and mapping
* Architecture for parking management in smart cities
* Computing journey start times with recurrent traffic conditions
* Concept and development of a unified ontology for generating test and use-case catalogues for assisted and automated vehicle guidance
* Conditional inference tree-based analysis of hazardous traffic conditions for rear-end and sideswipe collisions with implications for control strategies on freeways
* Cooperative vehicle collision warning system using the vector-based approach with dedicated short range communication data transmission
* Cooperative vehicle-actuator system: a sequence-based framework of cooperative intersections management
* Design, implementation and optimisation of an energy harvesting system for vehicular ad hoc networks' road side units
* Detection of partially occluded pedestrians by an enhanced cascade detector
* Detection of potholes in autonomous vehicle
* Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel
* Driving behaviour-based event data recorder
* Dynamic and stochastic routing for multimodal transportation systems
* Dynamic scene modelling and anomaly detection based on trajectory analysis
* eCall minimum set of data transmission- results from a field test in Finland
* Effectiveness of forward obstacles collision warning system based on deceleration for collision avoidance
* Effects of driving behaviour on vehicle cluster formation and its application
* Effects of variable message sign on driver detours and identification of influencing factors
* Elderly driver retraining using automatic evaluation system of safe driving skill
* Empirical analysis of the causes of stop-and-go waves at sags
* Evaluation of pre-registration and incentive scheme applied for mitigation of motorway traffic congestion
* Exploring the influence of traveller information on macroscopic fundamental diagrams
* Fuel consumption and gas emissions of an automatic transmission vehicle following simple eco-driving instructions on urban roads
* Gaussian mixture model and support vector machine approach to vehicle type and colour classification, A
* Getting drivers to do the right thing: a review of the potential for safely reducing energy consumption through design
* Global sensitivity analysis techniques to simplify the calibration of traffic simulation models. Methodology and application to the IDM car-following model
* How does the use of a continuously updating database allow for the analysis of a user's changing behaviour in electric vehicles?
* Impacts of a green-driving application in city buses on fuel consumption, speeding and passenger comfort
* Improved adaptive neuro fuzzy inference system car-following behaviour model based on the driver-vehicle delay
* Information modalities and timing of ecological driving support advices
* Infrared-based vehicular positioning with the automatic radiation-strength control
* Integrated traffic management: Benefit analysis of three layered approach
* Intersection detection and recognition for autonomous urban driving using a virtual cylindrical scanner
* Machine-learning methodology for energy efficient routing
* Method for accuracy assessment of aggregated freeway traffic data
* Methodology for quantification of fuel reduction potential for adaptive cruise control relevant driving strategies
* Microscopic cooperative traffic flow: Calibration and simulation based on a next generation simulation dataset
* Missing traffic data: comparison of imputation methods
* Model-based approach for estimating energy used by traffic flows on motorways with ITS
* Modelling and simulating worm propagation in static and dynamic traffic
* Monovision-based vehicle detection, distance and relative speed measurement in urban traffic
* Mutually coupled multiple inductive loop system suitable for heterogeneous traffic
* Novel and efficient local coordinated freeway ramp metering strategy with simultaneous perturbation stochastic approximation-based parameter learning
* On a spatiotemporally discrete urban traffic model
* On-line passenger estimation in a metro system using particle filter
* Online evaluation of an integrated control strategy at on-ramp bottleneck for urban expressways in Shanghai
* Optimisation of fuel efficiency for freeway vehicles
* Optimised speed profile design of a vehicle platoon considering road inclinations
* Platform enabling intelligent safety applications for vulnerable road users
* Potential impacts of ecological adaptive cruise control systems on traffic and environment
* Principal component analysis-based learning for preceding vehicle classification
* Quantum particle swarm optimisation algorithm for feedback control of semi-autonomous driver assistance systems
* Real time adaptive non-linear estimator/predictor design for traffic systems with inadequate detectors
* Real-time detecting and tracking of traffic shockwaves based on weighted consensus information fusion in distributed video network
* Real-time estimation of travel speed using urban traffic information system and filtering algorithm
* Reliability of an in-vehicle warning system for railway level crossings-a user-oriented analysis
* Runway incursion prevention method based on a discrete object sensing event-driven model
* Scene-based pedestrian safety performance model in mixed traffic situation
* Simple method for camera calibration of roundabout traffic scenes using a single circle
* Speed impacts of an icy curve warning system
* Strategic analysis of stakeholder preferences regarding the design of ITS-based road safety measures
* Study of a geo-multicast framework for efficient message dissemination at unmanned level crossings
* Study of intelligent load analysis system using genetic algorithm
* Surrogate safety measures as aid to driver assistance system design of the cognitive vehicle
* Timer-based greedy forwarding algorithm in vehicular ad hoc networks
* Understanding drivers' perspective on parking guidance information
* Vehicle trajectory extraction by simple two-dimensional model matching at low camera angles in intersection
* Velocity difference control based on dynamic tracking of safe following distance in the process of vehicle following
* Video-based traffic data collection system for multiple vehicle types
73 for IET-ITS(8)

IET-ITS(9) * Acceptability of driving an equipped vehicle with drive recorder: The impact of the context
* Adaptive fine pollutant discharge control for motor vehicles tunnels under traffic state transition
* Amitran methodology framework for evaluating the impact of information and communication technology-based measures on CO2 emissions in the transport field
* Analysing the impact of weather on bus ridership using smart card data
* Analysing traffic fluency from bus data
* Assessing the performance of a charge-while-driving system in urban arterial roads: insight from a microsimulation model
* Autonomous collision avoidance system based on accurate knowledge of the vehicle surroundings
* Benefits and challenges of multi-driver simulator studies
* Bus rapid transit system deployment for high quality and cost-effective transit service: a comprehensive review and comparative analysis
* Can ride-sharing become attractive? A case study of taxi-sharing employing a simulation modelling approach
* Characteristics of wrong-way driving on motorways in Japan
* Concept of controlling the usage of nomadic devices in highly automated vehicles
* Cooperative ITS communications architecture: the FOTsis project approach and beyond
* Coordinated ramp metering with priorities
* Cost effective railway signalling by wireless communication among onboard controllers and switch controllers
* Demand for intelligent vehicle safety systems in Europe
* Deriving a surrogate safety measure for freeway incidents based on predicted end-of-queue properties
* Design of light-emitting-diode array for solving problems of irregular radiation pattern and signal attenuation for infrared electronic-toll-collection systems
* Determinants of driver response to variable message sign information in Athens
* Does gender make a difference to performing in-vehicle tasks?
* Driver fatigue evaluation model with integration of multi-indicators based on dynamic Bayesian network
* Driving simulator-based study of compliance behaviour with dynamic message sign route guidance
* Eco-driving at signalised intersections for electric vehicles
* Eco-driving strategies in battery electric vehicle use- how do drivers adapt over time?
* Eco-driving strategies in battery electric vehicle use- how do drivers adapt over time?
* Effect of intelligent speed adaptation technology on older drivers: driving performance
* Effectiveness of advisory warnings based on cooperative perception
* Emission dynamic meso-simulation model to evaluate traffic strategies in congested urban networks
* Empty vehicles management as a method for reducing passenger waiting time in Personal Rapid Transit networks
* Energy performance in railway services: A calculation methodology and the influence of operation parameters
* Enhancing transport data collection through social media sources: methods, challenges and opportunities for textual data
* Evaluation of a multi-modal driver coaching function for electric vehicles
* Evaluation of the effectiveness of auditory speeding warnings for commercial passenger vehicles: A field study in Wuhan, China
* Evaluation of the tactile detection response task in a laboratory test using a surrogate driving set-up
* Evolving winter road maintenance ecosystems in Finland and Hokkaido, Japan
* Exploring synergy relationships between telematic services and functionalities using cluster analysis
* Exploring the heavy goods vehicle fleet behaviour through simulations: notes from the German toll system
* Floating car data-based method for detecting flooding incident under grade separation bridges in Beijing
* Forward search algorithm based on dynamic programming for real-time adaptive traffic signal control
* framework for real-time emissions trading in large-scale vehicle fleets, A
* Future role of cost-benefit analysis in intelligent transport system-research
* Fuzzy-based blended control for the energy management of a parallel plug-in hybrid electric vehicle
* Guest Editorial
* Guest Editorial
* Guest Editorial
* High-resolution nowcasting and its application in road maintenance: experiences from the INCA Central European area project
* Impact of ITS on CO2 emissions: the contribution of a standardised assessment framework
* Improving short-term traffic forecasts: To combine models or not to combine?
* Improving the road network performance with dynamic route guidance by considering the indifference band of road users
* Influence of hybridisation on eco-driving habits using realistic driving cycles
* Integrated ubiquitous connectivity and centralised information platform for intelligent public transportation systems
* Interaction design of automatic steering for collision avoidance: challenges and potentials of driver decoupling
* Interoperability of eCall and ERA-GLONASS in-vehicle emergency call systems
* Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis
* Longitudinal driving behaviour on different roadway categories: An instrumented-vehicle experiment, data collection and case study in China
* Mechanism of vehicular periodic operation for optimal fuel economy in free-driving scenarios
* Methodological development of a specific tool for assessing acceptability of assistive systems of powered two-wheeler-riders
* Mindfulness, inattention and performance in a driving simulator
* Multi-criteria evaluation method for freight logistics innovations
* Multi-model direct generalised predictive control for automatic train operation system
* NetLogo implementation of an ant colony optimisation solution to the traffic problem
* Night-time pedestrian classification with histograms of oriented gradients-local binary patterns vectors
* On creating vision-based advanced driver assistance systems
* On-road multi-vehicle tracking algorithm based on an improved particle filter
* Optimal road side units placement model based on binary integer programming for efficient traffic information advertisement and discovery in vehicular environment
* Optimisation of energy efficiency based on average driving behaviour and driver's preferences for automated driving
* Optimising a vehicle's approach towards an adaptively controlled intersection
* Outlier detection in traffic data based on the Dirichlet process mixture model
* Patterns of use, perceived benefits and reported effects of access to navigation support systems: an inter-European field operational test
* Personal security in travel by public transport: The role of traveller information and associated technologies
* Position and orientation error analysis and its compensation for a wheeled train uncoupling robot with four degrees-of-freedom
* Powered two wheelers: Workload assessment with various methods using a motorcycle simulator
* Privacy-aware average speed monitoring system for vehicular ad-hoc networks
* Proposal for a local electricity-sharing system: a case study of Yokohama city, Japan
* Proposal of geographic information systems methodology for quality control procedures of data obtained in naturalistic driving studies
* Quantitative model of the driver's reaction time during daytime fog: Application to a head up display-based advanced driver assistance system
* Range comfort zone of electric vehicle users- concept and assessment
* Real-time speed profile calculation for fuel saving considering unforeseen situations and travel time
* Regression-based parking space availability prediction for the Ubike system
* Required range of electric vehicles: An analysis of longitudinal mobility data
* Review of pedestrian detection techniques in automotive far-infrared video
* Review on the Infomobility Quality: a new framework
* Robust visual odometry estimation of road vehicle from dominant surfaces for large-scale mapping
* Role of driver assistance experience, system functionality, gender, age and sensation seeking in attitudes towards the safety of driver assistance systems
* Segmentation of vehicle detector data for improved k-nearest neighbours-based traffic flow prediction
* Semi-automatic annotation samples for vehicle type classification in urban environments
* Serial subtractive deconvolution algorithms for time-domain ultra wide band in-vehicle channel sounding
* Service design in electric vehicle sharing: evidence from Italy
* Setting the stage for autonomous cars: A pilot study of future autonomous driving experiences
* Short-term forecasting of available parking space using wavelet neural network model
* Solving new urban freight distribution problems involving modular electric vehicles
* Speed pattern recognition technique for short-term traffic forecasting based on traffic dynamics
* State-of-the-art and -practice review of public transport priority strategies
* Steering control collision avoidance system and verification through subject study
* Stochastic effects of traffic randomness on the determination of signal change and clearance intervals at signalised intersections
* Survey of smartphone-based sensing in vehicles for intelligent transportation system applications
* Swarm model for cooperative multi-vehicle mobility with inter-vehicle communications
* To switch travel mode or not? Impact of Smartphone delivered high-quality multimodal information
* Traffic incident duration analysis and prediction models based on the survival analysis approach
* Traffic sensor location approach for flow inference
* Trajectory-based anomalous behaviour detection for intelligent traffic surveillance
* Two-stage multi-criteria analysis and the future of intelligent transport systems-based safety innovation projects
* User experience with electric vehicles while driving in a critical range situation- a qualitative approach
* Using the robust statistics for travel time estimation on highways
* Vacant parking area estimation through background subtraction and transience map analysis
* Vehicle routing problem solution considering minimising fuel consumption
* Why do drivers change route? effect of graphical route information panels
107 for IET-ITS(9)

Index for "i"


Last update:16-Mar-24 21:12:13
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