Bertozzi, M.,
Broggi, A.,
Caraffi, C.,
del Rose, M.,
Felisa, M.,
Vezzoni, G.,
Pedestrian detection by means of far-infrared stereo vision,
CVIU(106), No. 2-3, May-June 2007, pp. 194-204.
Elsevier DOI
0705
Keywords: Infrared; Stereo; Pedestrian detection
See also Stereo Vision-Based Approaches for Pedestrian Detection.
BibRef
Bertozzi, M.,
Broggi, A.,
Carletti, M.,
Fascioli, A.,
Graf, T.,
Grisleri, P.,
Meinecke, M.,
IR Pedestrian Detection for Advanced Driver Assistance Systems,
DAGM03(582-590).
Springer DOI
0310
BibRef
Broggi, A.,
Fascioli, A.,
Grisleri, P.,
Graf, T.,
Meinecke, M.,
Model-Based Validation Approaches and Matching Techniques for
Automotive Vision Based Pedestrian Detection,
OTCBVS05(III: 1-1).
IEEE DOI
0507
BibRef
Broggi, A.,
Fascioli, A.,
Carletti, M.,
Graf, T.,
Meinecke, M.,
A multi-resolution approach for infrared vision-based pedestrian
detection,
IVS04(7-12).
IEEE DOI
0411
BibRef
Xu, F.L.,
Liu, X.,
Fujimura, K.,
Pedestrian Detection and Tracking With Night Vision,
ITS(6), No. 1, March 2005, pp. 63-71.
IEEE Abstract.
0501
BibRef
Xu, F.L.[Feng-Liang],
Fujimura, K.,
Human detection using depth and gray images,
AVSBS03(115-121).
IEEE DOI
0310
BibRef
Dai, C.X.[Cong-Xia],
Zheng, Y.F.[Yun-Fei],
Li, X.[Xin],
Pedestrian detection and tracking in infrared imagery using shape and
appearance,
CVIU(106), No. 2-3, May-June 2007, pp. 288-299.
Elsevier DOI
0705
BibRef
Earlier:
Layered Representation for Pedestrian Detection and Tracking in
Infrared Imagery,
OTCBVS05(III: 13-13).
IEEE DOI
0507
Infrared imagery; Background mosaicing; Pedestrian detection;
Shape-based classification; Appearance-based localization;
Graph theoretic tracking; Shot segmentation; Polarity switch
BibRef
Bi, L.,
Tsimhoni, O.,
Liu, Y.,
Using Image-Based Metrics to Model Pedestrian Detection Performance
With Night-Vision Systems,
ITS(10), No. 1, March 2009, pp. 155-164.
IEEE DOI
0903
BibRef
Lim, J.H.[Ji Hyoun],
Tsimhoni, O.,
Liu, Y.[Yili],
Investigation of Driver Performance With Night Vision and Pedestrian
Detection Systems Part I: Empirical Study on Visual Clutter and Glance
Behavior,
ITS(11), No. 3, September 2010, pp. 670-677.
IEEE DOI
1003
BibRef
Lim, J.H.[Ji Hyoun],
Liu, Y.[Yili],
Tsimhoni, O.,
Investigation of Driver Performance With Night-Vision and
Pedestrian-Detection Systems Part 2: Queuing Network Human Performance
Modeling,
ITS(11), No. 4, December 2010, pp. 765-772.
IEEE DOI
1101
BibRef
Ge, J.F.[Jun-Feng],
Luo, Y.P.[Yu-Pin],
Tei, G.,
Real-Time Pedestrian Detection and Tracking at Nighttime for
Driver-Assistance Systems,
ITS(10), No. 2, June 2009, pp. 283-298.
IEEE DOI
0906
BibRef
Dong, J.F.[Jian-Fei],
Ge, J.F.[Jun-Feng],
Luo, Y.P.[Yu-Pin],
Nighttime Pedestrian Detection with Near Infrared using Cascaded
Classifiers,
ICIP07(VI: 185-188).
IEEE DOI
0709
BibRef
Kim, H.H.,
Ha, K.N.,
Lee, S.,
Lee, K.C.,
Resident Location-Recognition Algorithm Using a Bayesian Classifier in
the PIR Sensor-Based Indoor Location-Aware System,
SMC-C(39), No. 2, March 2009, pp. 240-245.
IEEE DOI
0903
BibRef
Ling, B.[Bo],
Innovations in Crossing the Line,
VisSys(14), No. 3, March 2009.
HTML Version.
1102
Pedestrian detection system for traffic intersection control uses IR
LED wireless stereo vision system and detection algorithms
See also Migma Systems.
BibRef
Leykin, A.[Alex],
Hammoud, R.I.[Riad I.],
Pedestrian tracking by fusion of thermal-visible surveillance videos,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI
1006
BibRef
Earlier:
Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos,
OTCBVS06(136).
IEEE DOI
0609
BibRef
Leykin, A.[Alex],
Hammoud, R.I.[Riad I.],
Real-time estimation of human attention field in LWIR and color
surveillance videos,
OTCBVS08(1-6).
IEEE DOI
0806
BibRef
Leykin, A.[Alex],
Ran, Y.[Yang],
Hammoud, R.I.[Riad I.],
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian
Classification,
OTCBVS07(1-8).
IEEE DOI
0706
BibRef
Bilodeau, G.A.[Guillaume-Alexandre],
Torabi, A.[Atousa],
Lévesque, M.[Maxime],
Ouellet, C.[Charles],
Langlois, J.M.P.[J. M. Pierre],
Lema, P.[Pablo],
Carmant, L.[Lionel],
Body temperature estimation of a moving subject from thermographic
images,
MVA(23), No. 2, March 2012, pp. 299-311.
WWW Link.
1202
BibRef
Zhu, Y.[Yu],
Guo, G.D.[Guo-Dong],
A Study on Visible to Infrared Action Recognition,
SPLetters(20), No. 9, 2013, pp. 897-900.
IEEE DOI
1308
cameras
BibRef
Serrano-Cuerda, J.[Juan],
Fernández-Caballero, A.[Antonio],
López, M.T.[María Teresa],
Robust human detection through fusion of color and infrared video,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link
1407
Ph.D.. Thesis.
BibRef
Zhao, X.Y.[Xin-Yue],
He, Z.X.[Zai-Xing],
Zhang, S.Y.[Shu-You],
Liang, D.[Dong],
Robust pedestrian detection in thermal infrared imagery using a shape
distribution histogram feature and modified sparse representation
classification,
PR(48), No. 6, 2015, pp. 1947-1960.
Elsevier DOI
1503
Shape distribution histogram (SDH) feature
BibRef
Hurney, P.,
Waldron, P.,
Morgan, F.,
Jones, E.,
Glavin, M.,
Night-time pedestrian classification with histograms of oriented
gradients-local binary patterns vectors,
IET-ITS(9), No. 1, 2015, pp. 75-85.
DOI Link
1503
automobiles
BibRef
Gao, S.J.[Shu-Juan],
Kim, I.[Insuk],
Jhang, S.T.[Seong Tae],
Infrared Target Tracking Using Naďve-Bayes-Nearest-Neighbor,
IEICE(E98-D), No. 1, February 2015, pp. 471-474.
WWW Link.
1503
BibRef
Lin, C.F.[Chun-Fu],
Chen, C.S.[Chin-Sheng],
Hwang, W.J.[Wen-Jyi],
Chen, C.Y.[Chih-Yen],
Hwang, C.H.[Chi-Hung],
Chang, C.L.[Chun-Li],
Novel outline features for pedestrian detection system with thermal
images,
PR(48), No. 11, 2015, pp. 3440-3450.
Elsevier DOI
1506
Pedestrian detection at night
BibRef
Lee, Y.S.[Yi-Shu],
Chan, Y.M.[Yi-Ming],
Fu, L.C.[Li-Chen],
Hsiao, P.Y.[Pei-Yung],
Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part
Models,
ITS(16), No. 4, August 2015, pp. 1929-1940.
IEEE DOI
1508
Cameras
BibRef
Tao, S.[Shuai],
Kudo, M.[Mineichi],
Pei, B.,
Nonaka, H.[Hidetoshi],
Toyama, J.[Jun],
Multiperson Locating and Their Soft Tracking in a Binary Infrared
Sensor Network,
HMS(45), No. 5, October 2015, pp. 550-561.
IEEE DOI
1509
BibRef
Earlier: A1, A2, A4, A5, Only:
Person Localization and Soft Authentication Using an Infrared Ceiling
Sensor Network,
CAIP11(II: 122-129).
Springer DOI
1109
Accuracy.
BibRef
Suzuuchi, S.,
Kudo, M.,
Location-associated indoor behavior analysis of multiple persons,
ICPR16(2079-2084)
IEEE DOI
1705
Algorithm design and analysis, Authentication, Cameras,
Infrared sensors, Privacy
BibRef
Hurney, P.,
Waldron, P.,
Morgan, F.,
Jones, E.,
Glavin, M.,
Review of pedestrian detection techniques in automotive far-infrared
video,
IET-ITS(9), No. 8, 2015, pp. 824-832.
DOI Link
1511
Survey, Pedestrain Detection. driver information systems
BibRef
Bai, X.,
Wang, P.,
Zhou, F.,
Pedestrian Segmentation in Infrared Images Based on Circular Shortest
Path,
ITS(17), No. 8, August 2016, pp. 2214-2222.
IEEE DOI
1608
Cost function
BibRef
Zheng, Y.,
Zhou, F.,
Li, L.,
Bai, X.,
Propagation based saliency detection for infrared pedestrian images,
ICIP17(1527-1531)
IEEE DOI
1803
BibRef
Earlier: A3, A1, A4, A2:
Background prior and boundary weight-based pedestrian segmentation in
infrared images,
ICIP16(839-843)
IEEE DOI
1610
Indexes, infrared images, pedestrian, propagation, saliency.
Decision support systems
BibRef
Soundrapandiyan, R.[Rajkumar],
Chandra Mouli, P.V.S.S.R.,
Adaptive pedestrian detection in infrared images using fuzzy
enhancement and top-hat transform,
IJCVR(7), No. 1/2, 2017, pp. 49-67.
DOI Link
1701
BibRef
John, V.[Vijay],
Tsuchizawa, S.[Shogo],
Liu, Z.[Zheng],
Mita, S.[Seiichi],
Fusion of thermal and visible cameras for the application of pedestrian
detection,
SIViP(11), No. 3, March 2017, pp. 517-524.
WWW Link.
1702
BibRef
Lu, J.,
Zhang, T.,
Hu, F.,
Hao, Q.,
Preprocessing Design in Pyroelectric Infrared Sensor-Based
Human-Tracking System: On Sensor Selection and Calibration,
SMCS(47), No. 2, February 2017, pp. 263-275.
IEEE DOI
1702
array signal processing
BibRef
Biswas, S.K.,
Milanfar, P.,
Linear Support Tensor Machine With LSK Channels:
Pedestrian Detection in Thermal Infrared Images,
IP(26), No. 9, September 2017, pp. 4229-4242.
IEEE DOI
1708
discrete Fourier transforms, infrared imaging, object detection,
pedestrians, tensors, LSK channels, OSU color thermal database,
de facto sliding window-based detection methodology,
far infrared images, image similarity kernel,
intrinsic image noise, linear support tensor machine,
local image geometry, local orientation statistics,
local steering kernel, low-level descriptors,
mid-level attribute, multichannel discrete Fourier transform,
multidimensional template, pedestrian detection,
pedestrian localization, pixel level uncertainty,
rigid pedestrian detector, support vector machines,
tensor representation, thermal infrared images, Buildings,
Detectors, Kernel, Tensile stress, Training, Visualization,
Object detection, local steering kernel, lsk channels,
maximum margin method, pedestrian detection, support, tensor, machine
BibRef
Kim, T.[Taehwan],
Kim, S.[Sungho],
Pedestrian detection at night time in FIR domain: Comprehensive study
about temperature and brightness and new benchmark,
PR(79), 2018, pp. 44-54.
Elsevier DOI
1804
Pedestrian detection, Infrared, Temperature, Radiometry,
Thermoregulation, Brightness, Contrast
BibRef
Wan, M.J.[Min-Jie],
Gu, G.H.[Guo-Hua],
Qian, W.X.[Wei-Xian],
Ren, K.[Kan],
Chen, Q.[Qian],
Zhang, H.[Hai],
Maldague, X.[Xavier],
Total Variation Regularization Term-Based Low-Rank and Sparse Matrix
Representation Model for Infrared Moving Target Tracking,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Liu, Y.[Yang],
Lu, Z.Y.[Zhao-Yang],
Li, J.[Jing],
Yang, T.[Tao],
Yao, C.[Chao],
Global Temporal Representation Based CNNs for Infrared Action
Recognition,
SPLetters(25), No. 6, June 2018, pp. 848-852.
IEEE DOI
1806
convolution, feature extraction, feedforward neural nets,
image classification, image motion analysis,
infrared action recognition
BibRef
Li, L.[Lu],
Zhou, F.[Fugen],
Bai, X.Z.[Xiang-Zhi],
Infrared Pedestrian Segmentation Through Background Likelihood and
Object-Biased Saliency,
ITS(19), No. 9, September 2018, pp. 2826-2844.
IEEE DOI
1809
Image segmentation, Feature extraction, Robustness,
Nonhomogeneous media, Shape, Image color analysis,
saliency detection
BibRef
Zheng, Y.[Yu],
Li, L.[Lu],
Bai, X.Z.[Xiang-Zhi],
Zhou, F.[Fugen],
Saliency Optimization Based on Compactness and Background-Prior,
DICTA16(1-6)
IEEE DOI
1701
Classification algorithms
BibRef
Wang, Y.,
Bai, X.,
Intensity Inhomogeneity Suppressed Fuzzy C-Means for Infrared
Pedestrian Segmentation,
ITS(20), No. 9, September 2019, pp. 3361-3374.
IEEE DOI
1909
Image segmentation, Nonhomogeneous media, Linear programming,
Clustering methods, Feature extraction,
intensity inhomogeneity
BibRef
Wang, P.,
Bai, X.,
Thermal Infrared Pedestrian Segmentation Based on Conditional GAN,
IP(28), No. 12, December 2019, pp. 6007-6021.
IEEE DOI
1909
Image segmentation, Convolution, Robustness,
Generators, Kernel, Semantics, Thermal infrared image,
generative adversarial network
BibRef
Xiao, S.J.[Sheng-Jun],
Yuan, L.W.[Lin-Wang],
Luo, W.[Wen],
Li, D.S.[Dong-Shuang],
Zhou, C.Y.[Chun-Ye],
Yu, Z.Y.[Zhao-Yuan],
Recovering Human Motion Patterns from Passive Infrared Sensors:
A Geometric-Algebra Based Generation-Template-Matching Approach,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Liu, Q.,
He, Z.,
Li, X.,
Zheng, Y.,
PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark,
MultMed(22), No. 3, March 2020, pp. 666-675.
IEEE DOI
2003
Target tracking, Feature extraction, Benchmark testing,
Task analysis, Visualization, Guidelines, Thermal infrared, dataset
BibRef
Wang, G.,
Zhang, T.,
Cheng, J.,
Liu, S.,
Yang, Y.,
Hou, Z.,
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel
and Feature Alignment,
ICCV19(3622-3631)
IEEE DOI
2004
feature extraction, game theory, image colour analysis,
image representation, infrared imaging,
Training
BibRef
Wang, P.Y.[Ping-Yu],
Su, F.[Fei],
Zhao, Z.C.[Zhi-Cheng],
Zhao, Y.Y.[Yan-Yun],
Yang, L.[Lei],
Li, Y.[Yang],
Deep hard modality alignment for visible thermal person
re-identification,
PRL(133), 2020, pp. 195-201.
Elsevier DOI
2005
Visible thermal erson Re-identification,
Deep modality alignment, Hard subspace mining
BibRef
Zheng, L.Y.[Li-Ying],
Zhao, S.[Shuo],
Zhang, Y.B.[Yan-Bo],
Yu, L.[Lei],
Thermal infrared pedestrian tracking using joint siamese network and
exemplar prediction model,
PRL(140), 2020, pp. 66-72.
Elsevier DOI
2012
Thermal infrared pedestrian tracking, Exemplar prediction,
Siamese network, Convolutional neural network
BibRef
Wang, P.Y.[Ping-Yu],
Zhao, Z.C.[Zhi-Cheng],
Su, F.[Fei],
Zhao, Y.Y.[Yan-Yun],
Wang, H.Y.[Hai-Ying],
Yang, L.[Lei],
Li, Y.[Yang],
Deep Multi-Patch Matching Network for Visible Thermal Person
Re-Identification,
MultMed(23), 2021, pp. 1474-1488.
IEEE DOI
2106
Task analysis, Cameras, Feature extraction, Training, Correlation,
Semantics, Visualization, Multi-Patch Matching,
Priority Attention
BibRef
Jin, L.[Lei],
Cheng, J.C.[Jing-Chun],
Zhang, C.X.[Chun-Xi],
Infrared Pedestrian Tracking With Graph Memory Features,
SPLetters(28), 2021, pp. 1933-1937.
IEEE DOI
2110
Feature extraction, Target tracking, Correlation, Robustness, Strain,
Task analysis, Signal processing algorithms,
dynamic updating
BibRef
Chen, X.[Xu],
Gao, C.Q.[Chen-Qiang],
Li, C.Y.[Chao-Yu],
Yang, Y.[Yi],
Meng, D.Y.[De-Yu],
Infrared Action Detection in the Dark via Cross-Stream Attention
Mechanism,
MultMed(24), 2022, pp. 288-300.
IEEE DOI
2202
Optical imaging, Streaming media, Feature extraction, Proposals,
Task analysis, Image recognition, temporal action detection
BibRef
Chen, C.Q.[Cui-Qun],
Ye, M.[Mang],
Qi, M.[Meibin],
Wu, J.J.[Jing-Jing],
Jiang, J.G.[Jian-Guo],
Lin, C.W.[Chia-Wen],
Structure-Aware Positional Transformer for Visible-Infrared Person
Re-Identification,
IP(31), 2022, pp. 2352-2364.
IEEE DOI
2203
Transformers, Feature extraction, Robustness, Background noise,
Task analysis, Visualization, Heating systems,
interaction learning
BibRef
Tan, X.H.[Xiao-Heng],
Chai, Y.X.[Yan-Xia],
Chen, F.L.[Feng-Lei],
Liu, H.J.[Hai-Jun],
A Fourier-Based Semantic Augmentation for Visible-Thermal Person
Re-Identification,
SPLetters(29), 2022, pp. 1684-1688.
IEEE DOI
2208
Semantics, Image reconstruction, Cameras, Robustness, Interpolation,
Fourier transforms, Convolution, semantic augmentation
BibRef
Wei, Z.Y.[Zi-Yu],
Yang, X.[Xi],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
RBDF: Reciprocal Bidirectional Framework for Visible Infrared Person
Reidentification,
Cyber(52), No. 10, October 2022, pp. 10988-10998.
IEEE DOI
2209
Feature extraction, Representation learning, Training,
Task analysis, Image synthesis, Measurement, Telecommunications,
visible infrared person reidentification (VI-REID)
BibRef
Qin, W.C.[Wen-Cheng],
Huang, B.[Baojin],
Huang, Z.Y.[Zhi-Yong],
Tahsin, L.[Lamia],
Sun, D.M.[Da-Ming],
Deep Constraints Space via Channel Alignment for Visible-Infrared
Person Re-identification,
SPLetters(29), 2022, pp. 2672-2676.
IEEE DOI
2301
Semantics, Residual neural networks,
Signal processing algorithms, Training, Indexes, inter-modality
BibRef
Ding, M.[Meng],
Ding, Y.Y.[Yuan-Yuan],
Wei, L.[Li],
Xu, Y.M.[Yi-Ming],
Cao, Y.F.[Yun-Feng],
Individual Surveillance Around Parked Aircraft at Nighttime:
Thermal Infrared Vision-Based Human Action Recognition,
SMCS(53), No. 2, February 2023, pp. 1084-1094.
IEEE DOI
2301
Surveillance, Aircraft, Airports, Videos, Feature extraction,
Task analysis, Spatiotemporal phenomena, thermal infrared (TIR) video
BibRef
Wu, B.[Baotai],
Feng, Y.J.[Yu-Jian],
Sun, Y.F.[Yun-Fei],
Ji, Y.[Yimu],
Feature Aggregation via Attention Mechanism for Visible-Thermal
Person Re-Identification,
SPLetters(30), 2023, pp. 140-144.
IEEE DOI
2303
Feature extraction, Data mining, Residual neural networks,
Telecommunications, Convolution, Training, Task analysis,
cross-modality interaction
BibRef
Li, H.[Hui],
Xu, T.Y.[Tian-Yang],
Wu, X.J.[Xiao-Jun],
Lu, J.W.[Ji-Wen],
Kittler, J.V.[Josef V.],
LRRNet: A Novel Representation Learning Guided Fusion Network for
Infrared and Visible Images,
PAMI(45), No. 9, September 2023, pp. 11040-11052.
IEEE DOI
2309
BibRef
Liu, S.D.[Shang-Dong],
Mei, C.J.[Chao-Jun],
You, S.[Shuai],
Yao, X.L.[Xiao-Liang],
Wu, F.[Fei],
Ji, Y.[Yimu],
A Lightweight and Efficient Infrared Pedestrian Semantic Segmentation
Method,
IEICE(E106-D), No. 9, September 2023, pp. 1564-1571.
WWW Link.
2310
BibRef
Zha, Y.F.[Yu-Fei],
Li, F.[Fan],
Li, H.Y.[Huan-Yu],
Zhang, P.[Peng],
Huang, W.[Wei],
Reversible Modal Conversion Model for Thermal Infrared Tracking,
MultMedMag(30), No. 3, July 2023, pp. 8-24.
IEEE DOI
2310
BibRef
Xie, Q.[Qian],
Cheng, T.Y.[Ta-Ying],
Dai, Z.Z.[Zhuang-Zhuang],
Tran, V.[Vu],
Trigoni, N.[Niki],
Markham, A.[Andrew],
Illumination-Aware Hallucination-Based Domain Adaptation for Thermal
Pedestrian Detection,
ITS(25), No. 1, January 2024, pp. 315-326.
IEEE DOI
2402
Pedestrians, Thermal sensors, Lighting, Sensors, Feature extraction,
Training, Task analysis, Pedestrian detection, thermal image,
transformed-based fusion
BibRef
Tian, C.[Chao],
Zhou, Z.[Zikun],
Huang, Y.Q.[Yu-Qing],
Li, G.[Gaojun],
He, Z.Y.[Zhen-Yu],
Cross-Modality Proposal-Guided Feature Mining for Unregistered
RGB-Thermal Pedestrian Detection,
MultMed(26), 2024, pp. 6449-6461.
IEEE DOI
2404
Pedestrians, Detectors, Feature extraction, Proposals, Head,
Robustness, Task analysis, Cross-modality proposal, feature mining,
unregistered pedestrian detection
BibRef
Wei, Z.Y.[Zi-Yu],
Yang, X.[Xi],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Semi-Supervised Learning With Heterogeneous Distribution Consistency
for Visible Infrared Person Re-Identification,
IP(33), 2024, pp. 3880-3892.
IEEE DOI
2407
Training, Semisupervised learning, Cameras, Task analysis,
Predictive models, Pedestrians, Labeling, Semi-supervised learning,
consistency regularization.
BibRef
Yang, X.[Xi],
Dong, W.J.[Wen-Jiao],
Li, M.[Meijie],
Wei, Z.Y.[Zi-Yu],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Cooperative Separation of Modality Shared-Specific Features for
Visible-Infrared Person Re-Identification,
MultMed(26), 2024, pp. 8172-8183.
IEEE DOI
2408
BibRef
Earlier: A4, A1, A5, A6, Only:
Syncretic Modality Collaborative Learning for Visible Infrared Person
Re-Identification,
ICCV21(225-234)
IEEE DOI
2203
Pedestrians, Feature extraction, Generators,
Generative adversarial networks, Image color analysis, Training,
cooperative separation.
Bridges, Correlation, Computational modeling, Benchmark testing,
Collaborative work, Cameras, Recognition and classification,
Image and video retrieval
BibRef
Yang, X.[Xi],
Liu, H.L.[Huan-Ling],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Bidirectional modality information interaction for Visible-Infrared
Person Re-identification,
PR(161), 2025, pp. 111301.
Elsevier DOI
2502
Dynamic aggregation, Feature intersection, Multi-weight loss
BibRef
Li, S.T.[Song-Tao],
Ye, M.[Mao],
Ji, L.P.[Lu-Ping],
Tang, S.[Song],
Gan, Y.[Yan],
Zhu, X.T.[Xia-Tian],
Illumination Distribution-Aware Thermal Pedestrian Detection,
ITS(25), No. 11, November 2024, pp. 18688-18700.
IEEE DOI Code:
WWW Link.
2411
Feature extraction, Pedestrians, Detectors, Lighting, Task analysis,
Annotations, Vectors, Domain adaptation, feature co-occurrence,
thermal object detection
BibRef
Hu, Y.X.[Yu-Xuan],
Zhang, N.[Ning],
Weng, L.[Lubin],
Retrieve the Visible Feature to Improve Thermal Pedestrian Detection
Using Discrepancy Preserving Memory Network,
ICIP23(1125-1129)
IEEE DOI
2312
BibRef
Tang, Z.T.[Zi-Tian],
Ye, W.J.[Wen-Jie],
Ma, W.C.[Wei-Chiu],
Zhao, H.[Hang],
What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging,
CVPR23(17111-17120)
IEEE DOI
2309
BibRef
Liu, R.[Ruoshi],
Vondrick, C.[Carl],
Humans as Light Bulbs: 3D Human Reconstruction from Thermal
Reflection,
CVPR23(12531-12542)
IEEE DOI
2309
BibRef
Han, S.H.[Sang-Hun],
Park, M.G.[Min-Gyu],
Yoon, J.H.[Ju Hong],
Kang, J.M.[Ju-Mi],
Park, Y.J.[Young-Jae],
Jeon, H.G.[Hae-Gon],
High-fidelity 3D Human Digitization from Single 2K Resolution Images,
CVPR23(12869-12879)
IEEE DOI
2309
BibRef
Zhu, X.P.[Xiao-Pei],
Hu, Z.H.[Zhan-Hao],
Huang, S.Y.[Si-Yuan],
Li, J.M.[Jian-Min],
Hu, X.L.[Xiao-Lin],
Infrared Invisible Clothing: Hiding from Infrared Detectors at
Multiple Angles in Real World,
CVPR22(13307-13316)
IEEE DOI
2210
Temperature measurement, Temperature sensors,
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ICIP19(1660-1664)
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Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Motion, General Analysis .