Nixon, L.[Lyndon]
Co Author Listing * Multimodal Video Annotation for Retrieval and Discovery of Newsworthy Video in a News Verification Scenario
Nixon, M.
Co Author Listing * Towards Understanding Speciation By Automated Extraction And Description Of 3d Foraminifera Stacks
Nixon, M.S.[Mark S.]
Co Author Listing * Home Page.
* email: Nixon, M.S.[Mark S.]: msn AT ecs soton ac uk
* 3D morphable model construction for robust ear and face recognition
* 3D motion estimation by evidence gathering
* 3D Moving Object Reconstruction by Temporal Accumulation
* Adding Color Sensitivity to the Shape Adaptive Image Ray Transform
* Advances in automatic gait recognition
* Analysing comparative soft biometrics from crowdsourced annotations
* Analysis of a human extraction system for deploying gait biometrics
* Analyzing Front View Face Profiles for Face Recognition Via the Walsh Transform
* Application of the Hough Transform to Correct for Linear Variation of Background Illumination in Images
* Automated Human Recognition by Gait using Neural Network
* Automated person recognition by walking and running via model-based approaches
* Automated Segmentation of Lumbar Vertebrae in Digital Videofluoroscopic Images
* Automated System for Contact Lens Inspection, An
* Automatic extraction and description of human gait models for recognition purposes
* Automatic Gait Recognition by Symmetry Analysis
* Automatic gait recognition using area-based metrics
* Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
* Automatic Recognition by Gait
* Automatic Semantic Face Recognition
* Bias Error Analysis of the Generalised Hough Transform
* Biased motion-adaptive temporal filtering for speckle reduction in echocardiography
* Biometrics: In Search of Identity and Security (Q & A)
* Brightness Clustering Transformand Locally Contrasting Keypoints, The
* British Machine Vision Conference 1998
* Can gait biometrics be Spoofed?
* Circle extraction via least squares and the Kalman filter
* Classifiers Combination for Improved Motion Segmentation
* Comparing Different Template Features for Recognizing People by their Gait
* Covariate Analysis for View-Point Independent Gait Recognition
* Detecting heel strikes for gait analysis through acceleration flow
* Detection Human Motion with Heel Strikes for Surveillance Analysis
* Dynamic Feature-Extraction via the Velocity Hough Transform
* Ear Biometrics by Force Field Convergence
* Enriching Texture Analysis with Semantic Data
* Estimating the phase congruency of localised frequencies
* Evolving Content-Driven Superpixels for Accurate Image Representation
* Exploratory factor analysis of gait recognition
* Extended Model-Based Automatic Gait Recognition of Walking and Running
* Extending Concentricity Analysis by Deformable Templates for Improved Eye Extraction
* Extending The Feature Vector For Automatic Face Recognition
* extension to the brightness clustering transform and locally contrasting keypoints, An
* Extracting Arbitrary Geometric Primitives Represented by Fourier Descriptors
* Extracting human gait signatures by body segment properties
* Extracting moving shapes by evidence gathering
* Extraction and description of 3D (articulated) moving objects
* Extraction and recognition of periodically deforming objects by continuous, spatio-temporal shape description
* Extraction of Moving Articulated-objects by Evidence Gathering
* Feature Extraction and Image Processing
* Feature Extraction and Selection for Recognizing Humans by Their Gait
* Femur Bone Segmentation Using a Pressure Analogy
* Finding Moving Shapes by Continuous-Model Evidence Gathering
* Force Field Energy Functionals for Image Feature Extraction
* Force field feature extraction for ear biometrics
* Front-view Gait Recognition
* Fusing Complementary Operators to Enhance Foreground/Background Segmentation
* Gait Extraction and Description by Evidence-Gathering
* Gait Feature Subset Selection by Mutual Information
* Gait Learning-Based Regenerative Model: A Level Set Approach
* Gait recognition by dynamic cues
* Gait Verification Using Probabilistic Methods
* Global and Local Active Contours for Head Boundary Extraction
* Heel strike detection based on human walking movement for surveillance analysis
* Hough Transform for Detecting the Location and Orientation of 3-Dimensional Surfaces Via Color Encoded Spots, A
* Human gait recognition in canonical space using temporal templates
* Human Identification Based on Gait
* Human identification by spatio-temporal symmetry
* Human Perambulation as a Self Calibrating Biometric
* Image and Volume Segmentation by Water Flow
* image ray transform for structural feature detection, The
* Image-Based Multiscale Shape Description Using Gaussian Filter
* Improving an extended version of the Hough transform
* Improving parameter space decomposition for the generalised Hough transform
* Improving snake performance via a dual active contour
* Improving the Hough Transform gathering process for affine transformations
* Introducing Focus in the Generalized Symmetry Operator
* Invariant characterisation of the Hough transform for pose estimation of arbitrary shapes
* Is Enough Enough? What Is Sufficiency in Biometric Data?
* Joint Density Based Rank-Score Fusion for Soft Biometric Recognition at a Distance, A
* Keynote lecture 3: On gait and soft biometrics for surveillance
* Learning Salient Structures for the Analysis of Symmetric Patterns
* Level Set Gait Analysis for Synthesis and Reconstruction
* Low Level Moving-Feature Extraction Via Heat Flow Analogy
* Markerless view independent gait analysis with self-camera calibration
* Measuring and mitigating targeted biometric impersonation
* Model Based Dual Active Contour, A
* Model-Based Approaches for Predicting Gait Changes over Time
* Model-Based Feature Extraction for Gait Analysis and Recognition
* Model-based feature refinement by ellipsoidal face tracking
* Model-driven statistical analysis of human gait motion
* Modelling the Time-Variant Covariates for Gait Recognition
* Moving-edge detection via heat flow analogy
* New Area Based Metrics for Automatic Gait Recognition
* New Area Based Metrics for Gait Recognition
* New Force Field Transform for Ear and Face Recognition, A
* Novel Temporal Views of Moving Objects for Gait Biometrics
* On automated model-based extraction and analysis of gait
* On guided model-based analysis for ear biometrics
* On hierarchical modelling of motion for workflow analysis from overhead view
* On including quality in applied automatic gait recognition
* On Model-Based Analysis of Ear Biometrics
* On Moving Object Reconstruction by Moments
* On parameterizing higher-order motion for behaviour recognition
* On Resolving Ambiguities in Arbitrary-Shape extraction by the HT
* On Shape-Mediated Enrolment in Ear Biometrics
* On soft biometrics
* On Supervised Human Activity Analysis for Structured Environments
* On the relationship of human walking and running: Automatic person identification by gait
* On Using Directional Information for Parameter Space Decomposition in Ellipse Detection
* Parameterised Moving Shape Extraction
* Parameterizing Arbitrary Shapes via Fourier Descriptors for Evidence-Gathering Extraction
* Performance analysis on new biometric gait motion model
* Pressure Based Segmentation in Volumetric Images
* Real-time Semantic Clothing Segmentation
* Recognising Human and Animal Movement by Symmetry
* Retinal Vessel Extraction with the Image Ray Transform
* Retrieving relative soft biometrics for semantic identification
* Robust 2D Ear Registration and Recognition Based on SIFT Point Matching
* Robust log-Gabor filter for ear biometrics
* Robust Rigid Shape Registration Method Using a Level Set Formulation
* Robust Snake Implementation: A Dual Active Contour
* Self-Calibrating View-Invariant Gait Biometrics
* Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces
* Shape classification via image-based multiscale description
* Shape Extraction Via Heat Flow Analogy
* Shaped Wavelets for Curvilinear Structures for Ear Biometrics
* Similarity Registration for Shapes Based on Signed Distance Functions
* Snake Head Boundary Extraction Using Global and Local Energy Minimisation
* Soft Biometric Retrieval to Describe and Identify Surveillance Images
* Soft Biometrics; Human Identification Using Comparative Descriptions
* Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions
* Sphere Detection in Kinect Point Clouds via the 3D Hough Transform
* statistical approach for recognizing humans by gait using spatial-temporal templates, A
* Statistical Geometrical Features For Texture Classification
* Super-Fine Attributes with Crowd Prototyping
* Super-resolution for biometrics: A comprehensive survey
* Super-resolution land cover pattern prediction using a Hopfield neural network
* Super-resolution target identification from remotely sensed images using a Hopfield neural network
* survey on ear biometrics, A
* Symmetry Similarity of Human Perception to Computer Vision Operators
* Temporal phase congruency
* Temporal speckle reduction for feature extraction in ultrasound images
* Texture classification using statistical geometrical features
* Texture classification via conditional histograms
* Texture Extraction and Segmentation via Statistical Geometric Features
* Tools for semi-automatic monitoring of industrial workflows
* Toward Unconstrained Ear Recognition From Two-Dimensional Images
* University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset, The
* Use of Semantic Human Description as a Soft Biometric, The
* Using Gait Features for Improving Walking People Detection
* Velocity Hough Transform: A New Technique for Dynamic Feature Extraction, The
* Water Flow Based Complex Feature Extraction
* What image information is important in silhouette-based gait recognition?
* Zernike Velocity Moments for Description and Recognition of Moving Shapes
* Zernike velocity moments for sequence-based description of moving features
Includes: Nixon, M.S.[Mark S.] Nixon, M.S.
156 for Nixon, M.S.