17.1.3.5.4 Tracking People, Re-Identification Issues, Occlusions

Liu, H., Feng, J., Qi, M., Jiang, J., Yan, S.,
End-to-End Comparative Attention Networks for Person Re-Identification,
IP(26), No. 7, July 2017, pp. 3492-3506.
IEEE DOI 1706
Adaptation models, Benchmark testing, Cameras, Feature extraction, Lighting, Measurement, Robustness, Person re-identification, comparative attention network, multiple glimpses BibRef

Zhu, F.Q.[Fu-Qing], Kong, X.W.[Xiang-Wei], Zheng, L.[Liang], Fu, H.Y.[Hai-Yan], Tian, Q.[Qi],
Part-Based Deep Hashing for Large-Scale Person Re-Identification,
IP(26), No. 10, October 2017, pp. 4806-4817.
IEEE DOI 1708
intelligent transportation systems, learning (artificial intelligence), object detection, pedestrians, Hamming distance, PDH method, deep hashing architecture, deep learning, discriminative learning, discriminative visual representation, large-scale person re-identification, part-based deep hashing, pedestrian image, Computational modeling, Face, Image retrieval, Lighting, Measurement, Neural networks, Visualization, Deep learning, hashing, large-scale person re-identification, part-based BibRef

Xu, X.[Xin], Liu, W.[Wei], Wang, Z.[Zheng], Hu, R.M.[Rui-Min], Tian, Q.[Qi],
Towards generalizable person re-identification with a bi-stream generative model,
PR(132), 2022, pp. 108954.
Elsevier DOI 2209
Person re-identification, Generalizable re-ID, Camera-Camera problem, Camera-Person problem BibRef

Zhang, Z.Z.[Zhi-Zhong], Xie, Y.[Yuan], Li, D.[Ding], Zhang, W.S.[Wen-Sheng], Tian, Q.[Qi],
Learning to Align via Wasserstein for Person Re-Identification,
IP(29), 2020, pp. 7104-7116.
IEEE DOI 2007
Semantics, Heating systems, Measurement, Learning systems, Training, Estimation, Feature extraction, Person re-identification, Wasserstein distance BibRef

Dong, H.S.[Hu-Sheng], Lu, P.[Ping], Liu, C.P.[Chun-Ping], Ji, Y.[Yi], Li, Y.G.[Yong-Gang], Gong, S.R.[Sheng-Rong],
Person re-identification by kernel null space marginal Fisher analysis,
PRL(107), 2018, pp. 66-74.
Elsevier DOI 1805
Person re-identification, Null space, Marginal Fisher analysis, Kernel method BibRef

Dong, H.S.[Hu-Sheng], Liu, C.P.[Chun-Ping], Ji, Y.[Yi], Wang, Z.H.[Zhao-Hui], Gong, S.R.[Sheng-Rong],
Fusion of spatially constrained attributes with kernelized ranking for person re-identification,
AVSS15(1-6)
IEEE DOI 1511
feature extraction BibRef

Wang, J.Y.[Jia-Yun], Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Hou, Q.Q.[Qi-Qi],
Deep ranking model by large adaptive margin learning for person re-identification,
PR(74), No. 1, 2018, pp. 241-252.
Elsevier DOI 1711
Person, re-identification BibRef

Sathish, P.K., Balaji, S.,
Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos,
MultInfoRetr(6), No. 4, December 2017, pp. 289-294.
Springer DOI 1712
BibRef

Sathish, P.K., Balaji, S.,
A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors,
MultInfoRetr(8), No. 4, November 2018, pp. 221-229.
Springer DOI 1812
BibRef

Wang, X.B.[Xiao-Bo], Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai], Guo, X.J.[Xiao-Jie], Yang, Y.[Yang], Li, S.Z.[Stan Z.],
Dependence-Aware Feature Coding for Person Re-Identification,
SPLetters(25), No. 4, April 2018, pp. 506-510.
IEEE DOI 1804
Hilbert spaces, image representation, learning (artificial intelligence), Person re-identification BibRef

Si, J., Zhang, H., Li, C.G., Guo, J.,
Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation,
SMCS(48), No. 7, July 2018, pp. 1140-1154.
IEEE DOI 1806
Cameras, Encoding, Feature extraction, Image color analysis, Kernel, Measurement, Pipelines, spatial pyramid-based statistical features BibRef

Fu, Z.Y.[Zhen-Yong], Xiang, T.[Tao], Kodirov, E.[Elyor], Gong, S.G.[Shao-Gang],
Zero-Shot Learning on Semantic Class Prototype Graph,
PAMI(40), No. 8, August 2018, pp. 2009-2022.
IEEE DOI 1807
BibRef
Earlier: A3, A2, A1, A4:
Person Re-Identification by Unsupervised L1 Graph Learning,
ECCV16(I: 178-195).
Springer DOI 1611
BibRef
Earlier: A3, A2, A1, A4:
Learning Robust Graph Regularisation for Subspace Clustering,
BMVC16(xx-yy).
HTML Version. 1805
Computational modeling, Manifolds, Markov processes, Prototypes, Semantics, Training, Visualization, Zero-shot learning, semantic manifold
See also Transductive Multi-View Zero-Shot Learning. BibRef

Wang, H.X.[Han-Xiao], Gong, S.G.[Shao-Gang], Zhu, X.T.[Xia-Tian], Xiang, T.[Tao],
Human-in-the-Loop Person Re-identification,
ECCV16(IV: 405-422).
Springer DOI 1611
BibRef

Andavar, S.[Suruliandi], Elango, P.[Poongothai],
Person re-identification based on pose angle estimation and multi-feature extraction,
IET-Bio(7), No. 4, July 2018, pp. 365-370.
DOI Link 1807
BibRef

Wang, G., Lai, J., Xie, X.,
P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?,
CirSysVideo(28), No. 10, October 2018, pp. 2777-2787.
IEEE DOI 1811
Feature extraction, Measurement, Face recognition, Neural networks, Cameras, Sun, Robustness, Person re-identification, deep learning BibRef

Liu, H., Jie, Z., Jayashree, K., Qi, M., Jiang, J., Yan, S., Feng, J.,
Video-Based Person Re-Identification With Accumulative Motion Context,
CirSysVideo(28), No. 10, October 2018, pp. 2788-2802.
IEEE DOI 1811
Context, Image color analysis, Feature extraction, Adaptive optics, Cameras, Video sequences, Data mining, Video surveillance, accumulative motion context BibRef

Liu, J., Ni, B., Yan, Y., Zhou, P., Cheng, S., Hu, J.,
Pose Transferrable Person Re-identification,
CVPR18(4099-4108)
IEEE DOI 1812
Training, Skeleton, Measurement, Generative adversarial networks, Task analysis, Generators BibRef

He, L., Liang, J., Li, H., Sun, Z.,
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach,
CVPR18(7073-7082)
IEEE DOI 1812
Image reconstruction, Feature extraction, Probes, Computational modeling,Face recognition, Convolution BibRef

Li, Z.J.[Zhao-Ju], Han, Z.J.[Zhen-Jun], Xing, J.L.[Jun-Liang], Ye, Q.X.[Qi-Xiang], Yu, X.H.[Xue-Hui], Jiao, J.B.[Jian-Bin],
High performance person re-identification via a boosting ranking ensemble,
PR(94), 2019, pp. 187-195.
Elsevier DOI 1906
BibRef
Earlier: A1, A2, A4, Only:
Person re-identification via adaboost ranking ensemble,
ICIP16(4269-4273)
IEEE DOI 1610
Person re-identification, Boosting, Ensemble. Adaptation models BibRef

Han, X.M.[Xu-Meng], Yu, X.H.[Xue-Hui], Li, G.R.[Guo-Rong], Zhao, J.[Jian], Pan, G.[Gang], Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin], Han, Z.J.[Zhen-Jun],
Rethinking Sampling Strategies for Unsupervised Person Re-Identification,
IP(32), 2023, pp. 29-42.
IEEE DOI 2301
Task analysis, Training, Representation learning, Optimization, Annotations, Unsupervised learning, Stability criteria, representation learning BibRef

Liao, X.L., Zhang, C., Dong, M., Chen, X.,
Person Reidentification by Deep Structured Prediction: A Fully Parameterized Approach,
MultMedMag(26), No. 3, July 2019, pp. 42-55.
IEEE DOI 1909
Probes, Image retrieval, Labeling, Minimization, Cameras, Benchmark testing, Identification of persons, Prediction models, Structure Sampling BibRef

Li, S.Z.[Shu-Zhao], Yu, H.M.[Hui-Min], Hu, R.[Roland],
Attributes-aided part detection and refinement for person re-identification,
PR(97), 2020, pp. 107016.
Elsevier DOI 1910
Person re-identification, Attribute detection, Part detection, Deep neural networks BibRef

Wang, Y.J.[Yu-Jiang], Shen, J.[Jie], Petridis, S.[Stavros], Pantic, M.[Maja],
A real-time and unsupervised face re-identification system for human-robot interaction,
PRL(128), 2019, pp. 559-568.
Elsevier DOI 1912
Real-time face re-identification, Open set re-ID, Multiple re-ID, Human-robot interaction, CNN descriptors, Online clustering BibRef

Stavropoulos, G.[Georgios], Dimitriou, N.[Nikolaos], Drosou, A.[Anastasios], Tzovaras, D.[Dimitrios],
A Short-term Biometric Based System for Accurate Personalized Tracking,
CVS19(552-561).
Springer DOI 1912
BibRef

Zhao, Y., Li, Y., Wang, S.,
Open-World Person Re-Identification With Deep Hash Feature Embedding,
SPLetters(26), No. 12, December 2019, pp. 1758-1762.
IEEE DOI 2001
cryptography, image matching, learning (artificial intelligence), watch-list, novel Task Dedicated Deep Hashing approach, large-scale BibRef

Wang, S.Q.[Shi-Qin], Xu, X.[Xin], Liu, L.[Lei], Tian, J.[Jing],
Multi-level feature fusion model-based real-time person re-identification for forensics,
RealTimeIP(17), No. 1, February 2020, pp. 73-81.
WWW Link. 2002
BibRef

Zhang, W., He, X., Yu, X., Lu, W., Zha, Z., Tian, Q.,
A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos,
IP(29), 2020, pp. 3365-3373.
IEEE DOI 2002
Video-based person re-id, spatial-temporal attention, multi-scale pooling BibRef

Leng, Q., Ye, M., Tian, Q.,
A Survey of Open-World Person Re-Identification,
CirSysVideo(30), No. 4, April 2020, pp. 1092-1108.
IEEE DOI 2004
Survey, Re-Identification. Cameras, Probes, Task analysis, Measurement, Benchmark testing, Feature extraction, Person re-identification, specific application-driven BibRef

Zeng, K.W.[Kai-Wei], Ning, M.[Munan], Wang, Y.H.[Yao-Hua], Guo, Y.[Yang],
Energy clustering for unsupervised person re-identification,
IVC(98), 2020, pp. 103913.
Elsevier DOI 2006
Person re-identification, Fully unsupervised method, Hierarchical clustering, Energy distance BibRef

Matsukawa, T.[Tetsu], Okabe, T.[Takahiro], Suzuki, E.[Einoshin], Sato, Y.[Yoichi],
Hierarchical Gaussian Descriptors with Application to Person Re-Identification,
PAMI(42), No. 9, September 2020, pp. 2179-2194.
IEEE DOI 2008
BibRef
Earlier:
Hierarchical Gaussian Descriptor for Person Re-identification,
CVPR16(1363-1372)
IEEE DOI 1612
BibRef
Earlier: A1, A2, A4, Only:
Person Re-identification via Discriminative Accumulation of Local Features,
ICPR14(3975-3980)
IEEE DOI 1412
Image color analysis, Gaussian distribution, Manifolds, Covariance matrices, Histograms, Colored noise, Measurement, log-Euclidean Riemannian metric. Feature extraction BibRef

Matsukawa, T.[Tetsu], Suzuki, E.[Einoshin],
Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification,
MVA19(1-5)
DOI Link 1911
Hilbert spaces, image recognition, image representation, learning (artificial intelligence), kernel extension, kernel vector BibRef

Islam, K.[Khawar],
Person search: New paradigm of person re-identification: A survey and outlook of recent works,
IVC(101), 2020, pp. 103970.
Elsevier DOI 2009
Survey, Re-Identification. Person re-identification, Person search, Literature survey, Metric learning, Loss functions BibRef

Wu, Y.M.[Yi-Ming], Bourahla, O.E.[Omar El_Farouk], Li, X.[Xi], Wu, F.[Fei], Tian, Q.[Qi], Zhou, X.[Xue],
Adaptive Graph Representation Learning for Video Person Re-Identification,
IP(29), 2020, pp. 8821-8830.
IEEE DOI 2009
Feature extraction, Adaptation models, Context modeling, Deep learning, Visualization, consistency BibRef

Nie, R.[Ren], Ding, J.[Jin], Zhou, X.[Xue], Li, X.[Xi],
Rethinking Normalization Layers for Domain Generalizable Person Re-Identification,
ECCV24(LXIX: 267-284).
Springer DOI 2412
BibRef

Luo, H., Jiang, W., Gu, Y., Liu, F., Liao, X., Lai, S., Gu, J.,
A Strong Baseline and Batch Normalization Neck for Deep Person Re-Identification,
MultMed(22), No. 10, October 2020, pp. 2597-2609.
IEEE DOI 2009
Training, Feature extraction, Computational modeling, Neck, Measurement, Task analysis, Person ReID, baseline, deep learning BibRef

Huang, J.L.[Jia-Liang], Liu, B.[Bo], Fu, L.H.[Li-Hua],
Joint multi-scale discrimination and region segmentation for person re-ID,
PRL(138), 2020, pp. 540-547.
Elsevier DOI 1806
Person re-identification, Multi-scale deep network, Semantic segmentation, Supervised learning BibRef

Zhou, S.[Shuren], Wu, J.[Jie], Zhang, F.[Fan], Sehdev, P.[Paramjit],
Depth occlusion perception feature analysis for person re-identification,
PRL(138), 2020, pp. 617-623.
Elsevier DOI 1806
Person re-identification, Pose estimation, Occlusion perception, Self-attention mechanism, Deep neural network BibRef

Zhang, S.Z.[Shi-Zhou], Zhang, Q.[Qi], Yang, Y.F.[Yi-Fei], Wei, X.[Xing], Wang, P.[Peng], Jiao, B.L.[Bing-Liang], Zhang, Y.N.[Yan-Ning],
Person Re-Identification in Aerial Imagery,
MultMed(23), 2021, pp. 281-291.
IEEE DOI 2012
Surveillance, Task analysis, Unmanned aerial vehicles, Cameras, Visualization, Object detection, Distance measurement, subspace pooling BibRef

Barman, A.[Arko], Shah, S.K.[Shishir K.],
A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-Identification,
PAMI(43), No. 3, March 2021, pp. 753-765.
IEEE DOI 2102
BibRef
Earlier:
SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems,
ICCV17(1124-1133)
IEEE DOI 1802
Search problems, Image matching, Approximation algorithms, Shape, Image retrieval, Probes, Image matching, ant colony optimization. feature extraction, graph theory, greedy algorithms, image representation, Shape BibRef

Wang, P., Zhao, Z., Su, F., Zu, X., Boulgouris, N.V.,
HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification,
IP(30), 2021, pp. 2908-2922.
IEEE DOI 2102
Feature extraction, Semantics, Annotations, Pose estimation, Training, Testing, Task analysis, Person re-identification, convolutional neural networks BibRef

Xie, Q., Zhou, W., Qi, G.J., Tian, Q., Li, H.,
Progressive Unsupervised Person Re-Identification by Tracklet Association With Spatio-Temporal Regularization,
MultMed(23), 2021, pp. 597-610.
IEEE DOI 2102
Cameras, Training, Feature extraction, Data models, Training data, Machine learning, UHDTV, Unsupervised person re-identification, Tracklet association BibRef

Cao, M.[Min], Chen, C.[Chen], Dou, H.[Hao], Hu, X.Y.[Xi-Yuan], Peng, S.L.[Si-Long], Kuijper, A.[Arjan],
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification,
MultMed(23), 2021, pp. 1239-1251.
IEEE DOI 2105
Probes, Feature extraction, Computational complexity, Visualization, Manifolds, Context modeling, Training, post-processing BibRef

Bai, S.[Song], Li, Y.W.[Ying-Wei], Zhou, Y.Y.[Yu-Yin], Li, Q.Z.[Qi-Zhu], Torr, P.H.S.[Philip H.S.],
Adversarial Metric Attack and Defense for Person Re-Identification,
PAMI(43), No. 6, June 2021, pp. 2119-2126.
IEEE DOI 2106
Training, Probes, Perturbation methods, Loss measurement, Video surveillance, Testing, Person re-identification, metric learning BibRef

Bai, S.[Song], Tang, P.[Peng], Torr, P.H.S.[Philip H.S.], Latecki, L.J.[Longin Jan],
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification,
CVPR19(740-749).
IEEE DOI 2002
BibRef

Wang, G.S.[Guan-Shuo], Chen, X.[Xiong], Gao, J.L.[Jia-Lin], Zhou, X.[Xi], Ge, S.M.[Shi-Ming],
Self-Guided Body Part Alignment With Relation Transformers for Occluded Person Re-Identification,
SPLetters(28), 2021, pp. 1155-1159.
IEEE DOI 2106
Semantics, Light rail systems, Measurement, Task analysis, Training, Message passing, Germanium, Deep learning, attention mechanism BibRef

Gao, Z.[Zan], Gao, L.[Lishuai], Zhang, H.[Hua], Cheng, Z.Y.[Zhi-Yong], Hong, R.C.[Ri-Chang], Chen, S.Y.[Sheng-Yong],
DCR: A Unified Framework for Holistic/Partial Person ReID,
MultMed(23), 2021, pp. 3332-3345.
IEEE DOI 2109
Task analysis, Cameras, Image reconstruction, Training, Feature extraction, Skeleton, Collaboration, Dcr, unified framework BibRef

Zheng, W.S.[Wei-Shi], Hong, J.C.[Jin-Cheng], Jiao, J.N.[Jie-Ning], Wu, A.C.[An-Cong], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang], Qin, J.Y.[Jia-Yin], Lai, J.H.[Jian-Huang],
Joint Bilateral-Resolution Identity Modeling for Cross-Resolution Person Re-Identification,
IJCV(130), No. 1, January 2022, pp. 136-156.
Springer DOI 2201
BibRef

Tan, H.C.[Hong-Chen], Liu, X.P.[Xiu-Ping], Bian, Y.H.[Yu-Hao], Wang, H.S.[Hua-Sheng], Yin, B.C.[Bao-Cai],
Incomplete Descriptor Mining With Elastic Loss for Person Re-Identification,
CirSysVideo(32), No. 1, January 2022, pp. 160-171.
IEEE DOI 2201
Training, Task analysis, Measurement, Testing, Biological system modeling, Tensors, Integrated circuit modeling, incomplete person descriptor BibRef

Huang, B.L.[Bai-Liang], Piao, Y.[Yan], Zhang, H.[Hao], Tang, Y.F.[Yan-Feng],
Multi-scale feature combination for person re-identification,
IET-IPR(16), No. 7, 2022, pp. 2001-2011.
DOI Link 2205
BibRef

Shu, X.J.[Xiu-Jun], Wang, X.[Xiao], Zang, X.H.[Xiang-Hao], Zhang, S.L.[Shi-Liang], Chen, Y.Q.[Yuan-Qi], Li, G.[Ge], Tian, Q.[Qi],
Large-Scale Spatio-Temporal Person Re-Identification: Algorithms and Benchmark,
CirSysVideo(32), No. 7, July 2022, pp. 4390-4403.
IEEE DOI 2207
Benchmark testing, Motion pictures, Cameras, Videos, Surveillance, Task analysis, Annotations, Person re-identification, benchmark BibRef

Wang, D.K.[Dong-Kai], Zhang, S.L.[Shi-Liang],
Unsupervised Person Re-Identification via Multi-Label Classification,
IJCV(130), No. 12, December 2022, pp. 2924-2939.
Springer DOI 2211
BibRef

Chen, H.[Hao], Bremond, F.[Francois], Sebe, N.[Nicu], Zhang, S.L.[Shi-Liang],
Anti-Forgetting Adaptation for Unsupervised Person Re-Identification,
PAMI(47), No. 2, February 2025, pp. 1056-1072.
IEEE DOI 2501
Adaptation models, Data models, Feature extraction, Contrastive learning, Prototypes, Training, Incremental learning, backward compatible representation BibRef

Zheng, L.[Liang], Bie, Z.[Zhi], Sun, Y.F.[Yi-Fan], Wang, J.D.[Jing-Dong], Su, C.[Chi], Wang, S.J.[Sheng-Jin], Tian, Q.[Qi],
MARS: A Video Benchmark for Large-Scale Person Re-Identification,
ECCV16(VI: 868-884).
Springer DOI 1611
Dataset, Re-Identification. BibRef

Xu, B.Q.[Bo-Qiang], He, L.X.[Ling-Xiao], Liang, J.[Jian], Sun, Z.A.[Zhen-An],
Learning Feature Recovery Transformer for Occluded Person Re-Identification,
IP(31), 2022, pp. 4651-4662.
IEEE DOI 2207
Feature extraction, Transformers, Torso, Head, Legged locomotion, Semantics, Data mining, Occluded person re-identification, occlusion recovery BibRef

Jiang, B.[Bo], Wang, X.X.[Xi-Xi], Zheng, A.[Aihua], Tang, J.[Jin], Luo, B.[Bin],
PH-GCN: Person Retrieval With Part-Based Hierarchical Graph Convolutional Network,
MultMed(24), 2022, pp. 3218-3228.
IEEE DOI 2207
Feature extraction, Task analysis, Deep learning, Convolution, Biological system modeling, hierarchical graph BibRef

Hou, R.B.[Rui-Bing], Ma, B.P.[Bing-Peng], Chang, H.[Hong], Gu, X.Q.[Xin-Qian], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Feature Completion for Occluded Person Re-Identification,
PAMI(44), No. 9, September 2022, pp. 4894-4912.
IEEE DOI 2208
Task analysis, Feature extraction, Probes, Convolution, Decoding, Computational modeling, Body regions, Person re-identification, feature completion BibRef

Chen, C.Q.[Cui-Qun], Ye, M.[Mang], Qi, M.B.[Mei-Bin], Wu, J.J.[Jing-Jing], Liu, Y.M.[Yi-Min], Jiang, J.G.[Jian-Guo],
Saliency and Granularity: Discovering Temporal Coherence for Video-Based Person Re-Identification,
CirSysVideo(32), No. 9, September 2022, pp. 6100-6112.
IEEE DOI 2209
Feature extraction, Convolution, Video sequences, Noise measurement, Data mining, Coherence, temporal channel-relation module BibRef

Yang, S.Y.[Seong-Yeop], Kang, B.[Byeongkeun], Lee, Y.J.[Yee-Jin],
Sampling Agnostic Feature Representation for Long-Term Person Re-Identification,
IP(31), 2022, pp. 6412-6423.
IEEE DOI 2211
Training, Benchmark testing, Feature extraction, Cameras, Long-term person re-identification, data mining, classification loss BibRef

Chen, Y.[Ying], Yang, Y.Z.[Yu-Zhen], Liu, W.F.[Wen-Feng], Huang, Y.[Yuwen], Li, J.M.[Jin-Ming],
Pose-guided counterfactual inference for occluded person re-identification,
IVC(128), 2022, pp. 104587.
Elsevier DOI 2212
Occluded person re-identification, Attention mechanism, Counterfactual inference, Counterfactual intervention BibRef

Wang, Z.K.[Zhi-Kang], He, L.[Lihuo], Tu, X.G.[Xiao-Guang], Zhao, J.[Jian], Gao, X.B.[Xin-Bo], Shen, S.M.[Sheng-Mei], Feng, J.S.[Jia-Shi],
Robust Video-Based Person Re-Identification by Hierarchical Mining,
CirSysVideo(32), No. 12, December 2022, pp. 8179-8191.
IEEE DOI 2212
Feature extraction, Video sequences, Measurement, Optical network units, Optical losses, Optical imaging, temporal attention BibRef

Gilroy, S.[Shane], Glavin, M.[Martin], Jones, E.[Edward], Mullins, D.[Darragh],
An objective method for pedestrian occlusion level classification,
PRL(164), 2022, pp. 96-103.
Elsevier DOI 2212
BibRef

Dou, S.G.[Shu-Guang], Zhao, C.R.[Cai-Rong], Jiang, X.Y.[Xin-Yang], Zhang, S.S.[Shan-Shan], Zheng, W.S.[Wei-Shi], Zuo, W.M.[Wang-Meng],
Human Co-Parsing Guided Alignment for Occluded Person Re-Identification,
IP(32), 2023, pp. 458-470.
IEEE DOI 2301
Semantics, Image segmentation, Annotations, Transformers, Task analysis, Predictive models, Training, human parsing BibRef

Yang, Z.[Zhen], Huang, Z.Y.[Zhi-Yi], He, D.Y.[Dun-Yun], Zhang, T.[Tao], Yang, F.[Fan],
Dynamic representation-based tracker for long-term pedestrian tracking with occlusion,
JVCIR(90), 2023, pp. 103710.
Elsevier DOI 2301
Pedestrian tracking with occlusion, Dynamic representation-based tracker (DRT), Pose supervised module (PSM) BibRef

Kim, S.[Sejun], Kang, S.[Sungjae], Choi, H.[Hyomin], Kim, S.S.[Seong Soo], Seo, K.S.[Ki-Sung],
Keypoint Aware Robust Representation for Transformer-Based Re-Identification of Occluded Person,
SPLetters(30), 2023, pp. 65-69.
IEEE DOI 2302
Heating systems, Transformers, Consumer electronics, Training, Shape, Phase frequency detectors, Feature extraction, keypoint heatmap BibRef

Liu, Z.[Zhi], Mu, X.Y.[Xing-Yu], Lu, Y.[Yunhua], Zhang, T.T.[Ting-Ting], Tian, Y.L.[Ying-Li],
Learning transformer-based attention region with multiple scales for occluded person re-identification,
CVIU(229), 2023, pp. 103652.
Elsevier DOI 2303
Person re-identification, Transformer, Deep learning, Multiple scales BibRef

Huang, M.Y.[Mei-Yan], Hou, C.P.[Chun-Ping], Yang, Q.Y.[Qing-Yuan], Wang, Z.P.[Zhi-Peng],
Reasoning and Tuning: Graph Attention Network for Occluded Person Re-Identification,
IP(32), 2023, pp. 1568-1582.
IEEE DOI 2303
Semantics, Feature extraction, Cognition, Tuning, Correlation, Convolutional neural networks, Task analysis, graph attention network BibRef

Pang, Y.[Yunxiao], Zhang, H.X.[Hua-Xiang], Zhu, L.[Lei], Liu, D.M.[Dong-Mei], Liu, L.[Li],
Feature generation based on relation learning and image partition for occluded person re-identification,
JVCIR(91), 2023, pp. 103772.
Elsevier DOI 2303
Occluded person re-identification, Graph convolutional network, Partition BibRef

Wang, Y.[Yi], Wang, L.[Liangbo], Zhou, Y.[Yu],
Bi-level deep mutual learning assisted multi-task network for occluded person re-identification,
IET-IPR(17), No. 4, 2023, pp. 979-987.
DOI Link 2303
BibRef

Xu, M.Y.[Ming-Yuan], Guo, H.Y.[Hai-Yun], Jia, Y.H.[Yu-Heng], Dai, Z.T.[Zhi-Tao], Wang, J.Q.[Jin-Qiao],
Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification,
ITS(24), No. 3, March 2023, pp. 3395-3406.
IEEE DOI 2303
Cameras, Feature extraction, Training, Recycling, Robustness, Optimization, Task analysis, Person re-identification, pseudo label rectification BibRef

Lu, Y.[Yunhua], Jiang, M.Z.[Ming-Zi], Liu, Z.[Zhi], Mu, X.Y.[Xin-Yu],
Dual-branch adaptive attention transformer for occluded person re-identification,
IVC(131), 2023, pp. 104633.
Elsevier DOI 2303
Person re-identification, Multi-headed self-attention, Transformer, Metric learning BibRef

Xu, B.[Bolei],
Region selection for occluded person re-identification via policy gradient,
IVC(132), 2023, pp. 104648.
Elsevier DOI 2303
Person re-identification, Occlusion, Policy gradient BibRef

Jia, M.X.[Meng-Xi], Cheng, X.H.[Xin-Hua], Lu, S.J.[Shi-Jian], Zhang, J.[Jian],
Learning Disentangled Representation Implicitly Via Transformer for Occluded Person Re-Identification,
MultMed(25), 2023, pp. 1294-1305.
IEEE DOI 2305
Transformers, Feature extraction, Semantics, Decoding, Task analysis, Representation learning, Interference, Occlusion scene, visual Transformer BibRef

Mao, J.Z.[Jun-Zhu], Yao, Y.Z.[Ya-Zhou], Sun, Z.[Zeren], Huang, X.G.[Xing-Guo], Shen, F.M.[Fu-Min], Shen, H.T.[Heng-Tao],
Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device,
MultMed(25), 2023, pp. 1592-1599.
IEEE DOI 2305
Entropy, Transformers, Computational modeling, Indexes, Head, Computational efficiency, Task analysis, Vision transformer, model compression BibRef

Lan, Y.[Yun], Hu, R.M.[Rui-Min], Xu, X.[Xin], Li, D.S.[Deng-Shi], Wang, C.[Chao], Wang, X.C.[Xiao-Chen],
From Collective Attribute Association of Groups to Precise Attribute Association of Individuals,
MultMed(25), 2023, pp. 1547-1554.
IEEE DOI 2305
Trajectory, Hidden Markov models, Cameras, Visualization, Surveillance, Measurement, Data models, Precise element matching, unsupervised BibRef

Zhao, C.R.[Cai-Rong], Qu, Z.[Zefan], Jiang, X.Y.[Xin-Yang], Tu, Y.P.[Yuan-Peng], Bai, X.[Xiang],
Content-Adaptive Auto-Occlusion Network for Occluded Person Re-Identification,
IP(32), 2023, pp. 4223-4236.
IEEE DOI 2308
Training, Feature extraction, Adaptation models, Data augmentation, Pedestrians, Data models, Training data, occluded person re-identification BibRef

Yan, G.[Gang], Wang, Z.J.[Zi-Jin], Geng, S.[Shuze], Yu, Y.[Yang], Guo, Y.C.[Ying-Chun],
Part-Based Representation Enhancement for Occluded Person Re-Identification,
CirSysVideo(33), No. 8, August 2023, pp. 4217-4231.
IEEE DOI 2308
Feature extraction, Correlation, Task analysis, Semantics, Detectors, Aggregates, Information filters, Feature reconstruction, occlusion problem BibRef

Subramanyam, A.V.,
Meta Generative Attack on Person Reidentification,
CirSysVideo(33), No. 8, August 2023, pp. 4429-4434.
IEEE DOI 2308
Generative adversarial networks, Training, Glass box, Generators, Residual neural networks, Perturbation methods, Convergence, ReID BibRef

Zhang, G.Q.[Guo-Qing], Chen, C.[Chao], Chen, Y.H.[Yu-Hao], Zhang, H.W.[Hong-Wei], Zheng, Y.H.[Yu-Hui],
Transformer-based global-local feature learning model for occluded person re-identification,
JVCIR(95), 2023, pp. 103898.
Elsevier DOI 2309
Occluded person re-identification, Vision transformer, Feature fusion BibRef

Wang, P.F.[Peng-Fei], Ding, C.X.[Chang-Xing], Shao, Z.Y.[Zhi-Yin], Hong, Z.B.[Zhi-Bin], Zhang, S.L.[Sheng-Li], Tao, D.C.[Da-Cheng],
Quality-Aware Part Models for Occluded Person Re-Identification,
MultMed(25), 2023, pp. 3154-3165.
IEEE DOI 2309
BibRef

Tao, H.[Huanjie], Duan, Q.[Qianyue], An, J.F.[Jian-Feng],
An Adaptive Interference Removal Framework for Video Person Re-Identification,
CirSysVideo(33), No. 9, September 2023, pp. 5148-5159.
IEEE DOI 2310
BibRef

Peng, J.J.[Jin-Jia], Jiang, G.Q.[Guang-Qi], Wang, H.[Huibing],
Adaptive Memorization With Group Labels for Unsupervised Person Re-Identification,
CirSysVideo(33), No. 10, October 2023, pp. 5802-5813.
IEEE DOI 2310
BibRef

Zhou, Y.H.[Yu-Hang], Huang, F.[Fuxiang], Chen, W.J.[Wei-Jie], Pu, S.L.[Shi-Liang], Zhang, L.[Lei],
Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification,
CirSysVideo(33), No. 10, October 2023, pp. 5894-5907.
IEEE DOI 2310
BibRef

Chen, Z.[Zeqi], Cui, Z.C.[Zhi-Chao], Zhang, C.[Chi], Zhou, J.H.[Jia-Huan], Liu, Y.H.[Yue-Hu],
Dual Clustering Co-Teaching With Consistent Sample Mining for Unsupervised Person Re-Identification,
CirSysVideo(33), No. 10, October 2023, pp. 5908-5920.
IEEE DOI 2310
BibRef

Li, Q.W.[Qi-Wei], Xu, K.L.[Kun-Lun], Peng, Y.X.[Yu-Xin], Zhou, J.H.[Jia-Huan],
Exemplar-Free Lifelong Person Re-identification via Prompt-Guided Adaptive Knowledge Consolidation,
IJCV(132), No. 11, November 2024, pp. 4850-4865.
Springer DOI 2411
BibRef

Tang, C.R.[Chun-Ren], Xue, D.[Dingyu], Chen, D.[Dongyue],
Fuzzy set-based Bernoulli Random Noise Weighted Loss for unsupervised person re-identification,
IVC(138), 2023, pp. 104783.
Elsevier DOI 2310
Fully unsupervised learning, Person re-identification, Fuzzy set, Feature learning BibRef

Singh, D.[Divya], Mathew, J.[Jimson], Agarwal, M.[Mayank], Govind, M.[Mahesh],
Indoor dataset for Person Re-Identification: Exploring the impact of backpacks,
JVCIR(96), 2023, pp. 103931.
Elsevier DOI 2310
Person Re-Identification, WB, WoB, Dataset, PRid dataset, Bag, Knapsack BibRef

Ren, T.F.[Teng-Fei], Lian, Q.[Qiusheng], Zhang, D.[Dan],
Constructing comprehensive and discriminative representations with diverse attention for occluded person re-identification,
JVCIR(97), 2023, pp. 103993.
Elsevier DOI 2312
Person re-identification, Representation learning, Diverse attention, Transformer BibRef

Tang, Z.[Ziyi], Zhang, R.M.[Rui-Mao], Peng, Z.L.[Zhang-Lin], Chen, J.R.[Jin-Rui], Lin, L.[Liang],
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification,
MultMed(25), 2023, pp. 7917-7929.
IEEE DOI 2312
BibRef

Zhuang, X.[Xuyao], Wei, D.[Dan], Liang, D.Y.[Dan-Yang], Jiang, L.[Lei],
Feature attention fusion network for occluded person re-identification,
IVC(143), 2024, pp. 104921.
Elsevier DOI 2403
Feature attention fusion network, Occluded person re-identification, Attention mechanism BibRef

Gao, H.[Hua], Hu, C.C.[Chen-Chen], Han, G.[Guang], Mao, J.[Jiafa], Huang, W.[Wei], Guan, Q.[Qiu],
Point-level feature learning based on vision transformer for occluded person re-identification,
IVC(143), 2024, pp. 104929.
Elsevier DOI 2403
Occluded person re-identification, Feature learning, Vision transformer, Pose estimation BibRef

Bian, Y.[Yuan], Liu, M.[Min], Wang, X.P.[Xue-Ping], Tang, Y.[Yi], Wang, Y.N.[Yao-Nan],
Occlusion-Aware Feature Recover Model for Occluded Person Re-Identification,
MultMed(26), 2024, pp. 5284-5295.
IEEE DOI 2404
Feature extraction, Training, Data models, Knowledge based systems, Interference, Image reconstruction, Computational modeling, feature recovery BibRef

Gao, Z.[Zan], Chen, P.[Peng], Zhuo, T.[Tao], Liu, M.[Meng], Zhu, L.[Lei], Wang, M.[Meng], Chen, S.Y.[Sheng-Yong],
A Semantic Perception and CNN-Transformer Hybrid Network for Occluded Person Re-Identification,
CirSysVideo(34), No. 4, April 2024, pp. 2010-2025.
IEEE DOI 2404
Semantics, Feature extraction, Task analysis, Transformers, Pedestrians, Data mining, Convolutional neural networks, CNN-transformer hybrid network BibRef

Meng, C.Y.[Chun-Yun], Ganaa, E.D.[Ernest Domanaanmwi], Wu, B.[Bin], Tan, Z.[Zhen], Luan, L.[Li],
Anti-occlusion person re-identification via body topology information restoration and similarity evaluation,
IET-CV(18), No. 3, 2024, pp. 393-404.
DOI Link 2404
convolutional neural nets, image recognition, pattern recognition BibRef

Wang, R.[Runmin], Zhu, Z.L.[Zhen-Lin], Zhu, Y.B.[Yan-Bin], Chen, H.[Hua], Liao, Y.Z.[Yong-Zhong], Zhu, Z.Y.[Zi-Yu], Ding, Y.J.[Ya-Jun], Gao, C.X.[Chang-Xin], Sang, N.[Nong],
DIMGNet: A Transformer-Based Network for Pedestrian Reidentification With Multi-Granularity Information Mutual Gain,
MultMed(26), 2024, pp. 6513-6528.
IEEE DOI 2404
Pedestrians, Feature extraction, Transformers, Task analysis, Cameras, Data mining, transformer BibRef

Lv, G.L.[Gui-Lin], Ding, Y.H.[Yan-Hui], Chen, X.Y.[Xin-Yuan], Zheng, Y.J.[Yuan-Jie],
MP2PMatch: A Mask-guided Part-to-Part Matching network based on transformer for occluded person re-identification,
JVCIR(100), 2024, pp. 104128.
Elsevier DOI 2405
Occluded person re-identification, Human parsing, Data augmentation, Transformer BibRef

Ferdous, S.N.[Syeda Nyma], Li, X.[Xin],
Robust ensemble person reidentification via orthogonal fusion with occlusion handling,
IVC(146), 2024, pp. 105010.
Elsevier DOI 2405
Ensemble learning, Orthogonal fusion with occlusion handling (OFOH), Person re-id BibRef

Zhong, F.[Fujin], Wang, Y.H.[Yun-He], Yu, H.[Hong], Hu, J.[Jun], Yang, Y.[Yan],
Mask-Guided Discriminative Feature Network for Occluded Person Re-Identification,
JVCIR(101), 2024, pp. 104178.
Elsevier DOI 2406
BibRef
And: Corrigendum: JVCIR(104), 2024, pp. 104301.
Elsevier DOI 2411
Person re-identification, Occlusion augmentation, Mask-guided discriminative feature network, Sparse pairwise loss BibRef

Dong, N.[Neng], Zhang, L.Y.[Li-Yan], Yan, S.[Shuanglin], Tang, H.[Hao], Tang, J.H.[Jin-Hui],
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification,
CirSysVideo(34), No. 6, June 2024, pp. 4458-4472.
IEEE DOI Code:
WWW Link. 2406
Pedestrians, Feature extraction, Perturbation methods, Noise measurement, Task analysis, Training, Visualization, GAN-based adversarial defense BibRef

Liu, X.[Xuehu], Zhang, P.P.[Ping-Ping], Yu, C.Y.[Chen-Yang], Qian, X.S.[Xue-Sheng], Yang, X.Y.[Xiao-Yun], Lu, H.C.[Hu-Chuan],
A Video Is Worth Three Views: Trigeminal Transformers for Video-Based Person Re-Identification,
ITS(25), No. 9, September 2024, pp. 12818-12828.
IEEE DOI 2409
Transformers, Feature extraction, Aggregates, Transforms, Tensors, Identification of persons, Video sequences, deeply-supervised learning BibRef

Zhang, Y.Z.[Yun-Zuo], Yang, Y.H.[Yue-Hui], Kang, W.[Weili], Zhen, J.[Jiawen],
Multi-scale occlusion suppression network for occluded person re-identification,
PRL(185), 2024, pp. 66-72.
Elsevier DOI 2410
Occluded re-identification, Data augmentation, Attention mechanism, Graph matching BibRef

Jiang, M.[Min], Liu, X.Y.[Xin-Yu], Kong, J.[Jun],
Text-Guided Prototype Generation for Occluded Person Re-Identification,
SPLetters(31), 2024, pp. 2350-2354.
IEEE DOI 2410
Prototypes, Training, Semantics, Visualization, Identification of persons, Generators, Pedestrians, mask prototype BibRef

Gao, L.Y.[Li-Ying], Jiao, B.L.[Bing-Liang], Long, Y.Z.[Yu-Zhou], Niu, K.[Kai], Huang, H.[He], Wang, P.[Peng], Zhang, Y.N.[Yan-Ning],
Contrastive Pedestrian Attentive and Correlation Learning Network for Occluded Person Re-Identification,
CirSysVideo(34), No. 9, September 2024, pp. 8862-8880.
IEEE DOI Code:
WWW Link. 2410
Pedestrians, Semantics, Feature extraction, Correlation, Adaptation models, Predictive models, correlation learning BibRef

Li, Y.Y.[Yu-Yang], Yan, T.T.[Tian-Tian], Yang, X.[Xin], Zhang, Q.[Qiang], Zhou, D.S.[Dong-Sheng],
Semantic-Aware Detail Search and Feature Constraint for Cross-Resolution Person Re-Identification,
SPLetters(31), 2024, pp. 3084-3088.
IEEE DOI 2411
Feature extraction, Semantics, Pedestrians, Microprocessors, Convolution, Image resolution, Vectors, Training, Image restoration, semantic-aware detail search BibRef

Yuan, T.T.[Ting-Ting], Shu, Q.L.[Qing-Ling], Chen, S.B.[Si-Bao], Huang, L.L.[Li-Li], Luo, B.[Bin],
Instant pose extraction based on mask transformer for occluded person re-identification,
PR(159), 2025, pp. 111082.
Elsevier DOI 2412
Transformer, Person re-identification, Instant pose extraction, Mask aware module, Local prototype BibRef

Kim, S.[Sunpil], Yoon, G.J.[Gang-Joon], Song, J.[Jinjoo], Yoon, S.M.[Sang Min],
Simultaneous image patch attention and pruning for patch selective transformer,
IVC(150), 2024, pp. 105239.
Elsevier DOI 2409
Patch pruning, Patch emphasis, Attentive patch selection, Vision transformer BibRef

Ndayishimiye, F.[Fabrice], Yoon, G.J.[Gang-Joon], Lee, J.[Joonjae], Yoon, S.M.[Sang Min],
Person re-identification transformer with patch attention and pruning,
JVCIR(106), 2025, pp. 104348.
Elsevier DOI 2501
Person re-identification, Token pruning, Vision transformer BibRef

Yang, Z.X.[Ze-Xian], Wu, D.[Dayan], Wu, C.M.[Chen-Ming], Lin, Z.[Zheng], Gu, J.Z.[Jing-Zi], Wang, W.P.[Wei-Ping],
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification,
CVPR24(17343-17353)
IEEE DOI 2410
Visualization, Adaptation models, Pedestrians, Semantics, Prompt engineering, CLIP BibRef

Zuo, J.L.[Jia-Long], Zhou, H.Y.[Han-Yu], Nie, Y.[Ying], Zhang, F.[Feng], Guo, T.Y.[Tian-Yu], Sang, N.[Nong], Wang, Y.H.[Yun-He], Gao, C.X.[Chang-Xin],
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity,
CVPR24(22010-22019)
IEEE DOI Code:
WWW Link. 2410
Training, Measurement, Correlation, Codes, Annotations, Semantics, Person Re-identification, Benchmark, Text-based Person Retrieval, Fine Granularity BibRef

He, W.Z.[Wei-Zhen], Deng, Y.H.[Yi-Heng], Tang, S.X.[Shi-Xiang], Chen, Q.H.[Qi-Hao], Xie, Q.S.[Qing-Song], Wang, Y.Z.[Yi-Zhou], Bai, L.[Lei], Zhu, F.[Feng], Zhao, R.[Rui], Ouyang, W.L.[Wan-Li], Qi, D.L.[Dong-Lian], Yan, Y.F.[Yun-Feng],
Instruct-ReID: A Multi-Purpose Person Re-Identification Task with Instructions,
CVPR24(17521-17531)
IEEE DOI Code:
WWW Link. 2410
Learning systems, Adaptation models, Visualization, Surveillance, Text to image, Benchmark testing, Person Re-identification, General Foundation Mode BibRef

Chen, Y.[Yiyu], Fan, Z.[Zheyi], Chen, Z.[Zhaoru], Zhu, Y.X.[Yi-Xuan],
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification,
CVPR24(17532-17541)
IEEE DOI Code:
WWW Link. 2410
Measurement, Cameras, Reliability engineering, Robustness, Computational efficiency, re-ranking BibRef

Xu, K.L.[Kun-Lun], Zou, X.[Xu], Peng, Y.X.[Yu-Xin], Zhou, J.H.[Jia-Huan],
Distribution-Aware Knowledge Prototyping for Non-Exemplar Lifelong Person Re-Identification,
CVPR24(16604-16613)
IEEE DOI Code:
WWW Link. 2410
Adaptation models, Computational modeling, Prototypes, Statistical distributions, Transforms, Stability analysis BibRef

Zhao, Y.[Yang], Zhang, P.C.[Peng-Cheng], Yu, X.H.[Xiao-Han], Liao, Z.B.[Zhi-Bin], Verjans, J.[Johan], Bai, X.[Xiao], Xiang, W.[Wei],
Occluded Person Retrieval with Hierarchical Feature Optimization,
FG24(1-8)
IEEE DOI Code:
WWW Link. 2408
Pedestrians, Codes, Optimization models, Face recognition, Prototypes, Gesture recognition BibRef

Gao, G.Y.[Guang-Yu], Wang, Q.X.[Qian-Xiang], Ge, J.[Jing], Zhang, Y.[Yan],
AONET: Attentional Occlusion-aware Network for Occluded Person Re-identification,
ACCV22(V:21-36).
Springer DOI 2307
BibRef

Somers, V.[Vladimir], de Vleeschouwer, C.[Christophe], Alahi, A.[Alexandre],
Body Part-Based Representation Learning for Occluded Person Re-Identification,
WACV23(1613-1623)
IEEE DOI 2302
Training, Representation learning, Adaptation models, Codes, Computational modeling, Biological system modeling BibRef

Zhang, B.F.[Bao-Feng], Liang, Y.L.[Ya-Ling], Du, M.H.[Ming-Hui],
Interlaced Perception for Person Re-identification Based on Swin Transformer,
ICIVC22(24-30)
IEEE DOI 2301
Visualization, Adaptation models, Computational modeling, Focusing, Transformers, Feature extraction, Convolutional neural networks, Self-Attention BibRef

Reddy, N.D.[N. Dinesh], Tamburo, R.[Robert], Narasimhan, S.G.[Srinivasa G.],
WALT: Watch And Learn 2D amodal representation from Time-lapse imagery,
CVPR22(9346-9356)
IEEE DOI 2210
Over a period of days, eventually no occluded. Training, Representation learning, Image segmentation, Visualization, Webcams, Shape, Urban areas, Self- semi- meta- Visual reasoning BibRef

Lu, Y.C.[Yi-Chen], Wang, M.[Mei], Deng, W.H.[Wei-Hong],
Augmented Geometric Distillation for Data-Free Incremental Person ReID,
CVPR22(7319-7328)
IEEE DOI 2210
Privacy, Data privacy, Codes, Semantics, Licenses, Recognition: detection, categorization, retrieval BibRef

Wang, Z.K.[Zhi-Kang], Zhu, F.[Feng], Tang, S.X.[Shi-Xiang], Zhao, R.[Rui], He, L.[Lihuo], Song, J.N.[Jiang-Ning],
Feature Erasing and Diffusion Network for Occluded Person Re-Identification,
CVPR22(4744-4753)
IEEE DOI 2210
Training, Representation learning, Deep learning, Diffusion processes, Benchmark testing, Robustness, Representation learning BibRef

Ren, X.[Xuena], Zhang, D.M.[Dong-Ming], Bao, X.[Xiuguo], Shi, L.[Lei],
Double Granularity Relation Network with Self-criticism for Occluded Person Re-identification,
MMMod22(I:325-338).
Springer DOI 2203
BibRef

Chen, P.X.[Pei-Xian], Liu, W.F.[Wen-Feng], Dai, P.Y.[Ping-Yang], Liu, J.Z.[Jian-Zhuang], Ye, Q.X.[Qi-Xiang], Xu, M.L.[Ming-Liang], Chen, Q.[Qi'an], Ji, R.R.[Rong-Rong],
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID,
ICCV21(11813-11822)
IEEE DOI 2203
Training, Deep learning, Visualization, Benchmark testing, Data models, Image and video retrieval BibRef

Lai, S.[Shenqi], Chai, Z.H.[Zhen-Hua], Wei, X.L.[Xiao-Lin],
Transformer Meets Part Model: Adaptive Part Division for Person Re-Identification,
HTCV21(4133-4140)
IEEE DOI 2112
Adaptation models, Computational modeling, Semantics, Pose estimation, Avalanche photodiodes, Streaming media, Transformers BibRef

Liu, J.W.[Jia-Wei], Zha, Z.J.[Zheng-Jun], Wu, W.[Wei], Zheng, K.[Kecheng], Sun, Q.B.[Qi-Bin],
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos,
CVPR21(4368-4377)
IEEE DOI 2111
Correlation, Convolution, Biological system modeling, Video sequences, Semantics BibRef

Li, Y.L.[Yu-Lin], He, J.F.[Jian-Feng], Zhang, T.Z.[Tian-Zhu], Liu, X.[Xiang], Zhang, Y.D.[Yong-Dong], Wu, F.[Feng],
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer,
CVPR21(2897-2906)
IEEE DOI 2111
Prototypes, Benchmark testing, Transformers, Decoding BibRef

Ding, W., Wei, X., Hong, X., Gong, Y.,
Complex Spatial-Temporal Attention Aggregation For Video Person Re-Identification,
ICIP20(2441-2445)
IEEE DOI 2011
Signal to noise ratio, Video sequences, Aggregates, Artificial neural networks, Training, Optimization, Visualization, spatial-temporal attention BibRef

Isobe, T., Han, J., Zhuz, F., Liy, Y., Wang, S.,
Intra-Clip Aggregation For Video Person Re-Identification,
ICIP20(2336-2340)
IEEE DOI 2011
Feature extraction, Training, Mars, Video sequences, Benchmark testing, Cameras, Task analysis, Data Augmentation. BibRef

Gao, S., Wang, J., Lu, H., Liu, Z.,
Pose-Guided Visible Part Matching for Occluded Person ReID,
CVPR20(11741-11749)
IEEE DOI 2008
Feature extraction, Task analysis, Training, Electronics packaging, Predictive models, Probes, Robustness BibRef

Yang, J.R.[Jin-Rui], Zheng, W.S.[Wei-Shi], Yang, Q.[Qize], Chen, Y.C.[Ying-Cong], Tian, Q.[Qi],
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification,
CVPR20(3286-3296)
IEEE DOI 2008
Feature extraction, Computational modeling, Robustness, Optical computing, Optical imaging, Cameras BibRef

Miao, J.X.[Jia-Xu], Wu, Y.[Yu], Liu, P.[Ping], Ding, Y.H.[Yu-Hang], Yang, Y.[Yi],
Pose-Guided Feature Alignment for Occluded Person Re-Identification,
ICCV19(542-551)
IEEE DOI 2004
feature extraction, image retrieval, object detection, person retrieval scenarios, previous person re-identification, Agriculture BibRef

Yu, T., Li, D., Yang, Y., Hospedales, T., Xiang, T.,
Robust Person Re-Identification by Modelling Feature Uncertainty,
ICCV19(552-561)
IEEE DOI 2004
Code, Re-Identification.
WWW Link. feature extraction, Gaussian distribution, learning (artificial intelligence), neural nets, Cameras BibRef

Alemu, L.T., Shah, M., Pelillo, M.,
Deep Constrained Dominant Sets for Person Re-Identification,
ICCV19(9854-9863)
IEEE DOI 2004
image retrieval, neural nets, optimisation, pattern clustering, gallery images, probe image, similarity diffusion process BibRef

Gu, X., Ma, B., Chang, H., Shan, S., Chen, X.,
Temporal Knowledge Propagation for Image-to-Video Person Re-Identification,
ICCV19(9646-9655)
IEEE DOI 2004
face recognition, feature extraction, image classification, image matching, image representation, Training BibRef

Han, C., Ye, J., Zhong, Y., Tan, X., Zhang, C., Gao, C., Sang, N.,
Re-ID Driven Localization Refinement for Person Search,
ICCV19(9813-9822)
IEEE DOI 2004
object detection, pedestrians, query processing, uncropped scene images, person re-identification, Search problems BibRef

He, L.X.[Ling-Xiao], Wang, Y.G.[Ying-Gang], Liu, W.[Wu], Zhao, H.[He], Sun, Z.A.[Zhen-An], Feng, J.S.[Jia-Shi],
Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification,
ICCV19(8449-8458)
IEEE DOI 2004
cameras, feature extraction, image matching, probability, video signal processing, video surveillance, Convolution BibRef

Li, Y., Chen, Y., Lin, Y., Du, X., Wang, Y.F.,
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification,
ICCV19(8089-8098)
IEEE DOI 2004
feature extraction, identification technology, image matching, image representation, image resolution, Image reconstruction BibRef

Sun, H., Chen, Z., Yan, S., Xu, L.,
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification,
ICCV19(6736-6746)
IEEE DOI 2004
Code, Re-Identification.
WWW Link. graph theory, image matching, learning (artificial intelligence), convergence rate, maximum-value perfect matching, Benchmark testing BibRef

Guo, J., Yuan, Y., Huang, L., Zhang, C., Yao, J., Han, K.,
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification,
ICCV19(3641-3650)
IEEE DOI 2004
Code, Re-Identification.
WWW Link. image representation, dual part-aligned representations, person re-identification, externally defined attributes, Visualization BibRef

Luo, C.C.[Chuan-Chen], Chen, Y.T.[Yun-Tao], Wang, N.Y.[Nai-Yan], Zhang, Z.X.[Zhao-Xiang],
Spectral Feature Transformation for Person Re-Identification,
ICCV19(4975-4984)
IEEE DOI 2004
Code, Re-Identification.
WWW Link. graph theory, image processing, learning (artificial intelligence), pattern clustering, Benchmark testing BibRef

Li, J., Zhang, S., Wang, J., Gao, W., Tian, Q.,
Global-Local Temporal Representations for Video Person Re-Identification,
ICCV19(3957-3966)
IEEE DOI 2004
convolutional neural nets, image representation, image sequences, learning (artificial intelligence), video signal processing, Robustness BibRef

Wang, J.,
Part Matching with Multi-Level Attention for Person Re-Identification,
WIDER19(1805-1814)
IEEE DOI 2004
feature extraction, image matching, neural nets, part searching scheme, popular person Re-ID benchmarks, person re Identification BibRef

Chen, H.R.[Hao-Ran], Zhu, M.H.[Ming-Hua], Cai, X.S.[Xue-Song], Luo, J.F.[Ju-Feng], Qiu, Y.Z.[Yun-Zhou],
Improved Model Structure with Cosine Margin OIM Loss for End-to-end Person Search,
MMMod20(I:419-430).
Springer DOI 2003
Pedestrian detection and re-identification. BibRef

Li, D.Y.[Dong-Yang], Hu, R.M.[Rui-Min], Huang, W.X.[Wen-Xin], Wang, X.C.[Xiao-Chen], Li, D.S.[Deng-Shi], Zheng, F.[Fei],
HMM-based Person Re-identification in Large-scale Open Scenario,
MMMod20(I:813-825).
Springer DOI 2003
BibRef

Hou, R.B.[Rui-Bing], Ma, B.P.[Bing-Peng], Chang, H.[Hong], Gu, X.Q.[Xin-Qian], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
VRSTC: Occlusion-Free Video Person Re-Identification,
CVPR19(7176-7185).
IEEE DOI 2002
BibRef

Zhang, Z.Z.[Zhi-Zheng], Lan, C.L.[Cui-Ling], Zeng, W.J.[Wen-Jun], Chen, Z.B.[Zhi-Bo],
Densely Semantically Aligned Person Re-Identification,
CVPR19(667-676).
IEEE DOI 2002
BibRef

Wu, A.[Ancong], Zheng, W.S.[Wei-Shi], Guo, X.W.[Xiao-Wei], Lai, J.H.[Jian-Huang],
Distilled Person Re-Identification: Towards a More Scalable System,
CVPR19(1187-1196).
IEEE DOI 2002
BibRef

Wang, X.Y.[Xue-Ying], Zhao, X.[Xu],
Temporal Regularized Spatial Attention for Video-Based Person Re-Identification,
ICIP19(2249-2253)
IEEE DOI 1910
person re-id, spatial attention module, temporal regularization, focal loss BibRef

Zhang, W.F.[Wen-Feng], Wei, Z.Q.[Zhi-Qiang], Huang, L.[Lei], Nie, J.[Jie], Lv, L.[Lei], Wei, G.Q.[Guan-Qun],
Person Re-Identification Based on Pose-Aware Segmentation,
MMMod19(II:302-314).
Springer DOI 1901
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Iodice, S.[Sara], Mikolajczyk, K.[Krystian],
Partial Person Re-identification with Alignment and Hallucination,
ACCV18(VI:101-116).
Springer DOI 1906
BibRef

Yan, F., Kittler, J.V., Mikolajczyk, K.[Krystian],
Person Re-Identification with Vision and Language,
ICPR18(2136-2141)
IEEE DOI 1812
Natural languages, Benchmark testing, Visualization, Training, Standards, Task analysis, Cameras BibRef

Zhang, D., Chen, R., Qiu, Z., Zhang, W., Wang, Q.,
Person Re-Identification with Weighted Spatial-Temporal Features,
ICPR18(1426-1431)
IEEE DOI 1812
Videos, Feature extraction, Probes, Spatiotemporal phenomena, Video sequences, Logic gates, Lighting BibRef

Mahboubi, A., Brun, L., Conte, D.,
A structural approach to Person Re-identification problem,
ICPR18(1616-1621)
IEEE DOI 1812
Probes, Feature extraction, Kernel, Cameras, Image color analysis, Task analysis, Streaming media BibRef

Li, S.[Shuang], Bak, S.[Slawomir], Carr, P.[Peter], Wang, X.G.[Xiao-Gang],
Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification,
CVPR18(369-378)
IEEE DOI 1812
Feature extraction, Computational modeling, Spatiotemporal phenomena, Video sequences, Visualization, Cameras BibRef

Sarfraz, M.S., Schumann, A., Eberle, A., Stiefelhagen, R.,
A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking,
CVPR18(420-429)
IEEE DOI 1812
Cameras, Training, Visualization, Probes, Complexity theory, Convolutional neural networks BibRef

Timm, M., Maji, S., Fuller, T.,
Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision,
WiCV18(1977-19772)
IEEE DOI 1812
Animals, Cameras, Training, Biological system modeling, Task analysis, Semantics BibRef

Zhou, J., Su, B., Wu, Y.,
Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints,
CVPR18(5373-5381)
IEEE DOI 1812
Measurement, Cameras, Legged locomotion, Visualization, Reliability, Probes, Video surveillance BibRef

Huang, H., Li, D., Zhang, Z., Chen, X., Huang, K.,
Adversarially Occluded Samples for Person Re-identification,
CVPR18(5098-5107)
IEEE DOI 1812
Training, Feature extraction, Task analysis, Data models, Neural networks, Object recognition, Predictive models BibRef

Chen, D., Li, H., Xiao, T., Yi, S., Wang, X.,
Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding,
CVPR18(1169-1178)
IEEE DOI 1812
Probes, Estimation, Visualization, Feature extraction, Neural networks, Aggregates, Noise measurement BibRef

Song, C., Huang, Y., Ouyang, W., Wang, L.,
Mask-Guided Contrastive Attention Model for Person Re-identification,
CVPR18(1179-1188)
IEEE DOI 1812
Clutter, Image segmentation, Feature extraction, Body regions, Streaming media, Shape BibRef

Li, X.X.[Xiao-Xiao], Loy, C.C.[Chen Change],
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation,
ECCV18(III: 93-110).
Springer DOI 1810
BibRef

Suh, Y.M.[Yu-Min], Wang, J.D.[Jing-Dong], Tang, S.[Siyu], Mei, T.[Tao], Lee, K.M.[Kyoung Mu],
Part-Aligned Bilinear Representations for Person Re-identification,
ECCV18(XIV: 418-437).
Springer DOI 1810
BibRef

Zhou, C.L.[Chun-Luan], Yuan, J.S.[Jun-Song],
Bi-box Regression for Pedestrian Detection and Occlusion Estimation,
ECCV18(I: 138-154).
Springer DOI 1810
BibRef

Ye, M.[Mang], Lan, X.Y.[Xiang-Yuan], Yuen, P.C.[Pong C.],
Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild,
ECCV18(VII: 176-193).
Springer DOI 1810
BibRef

Karianakis, N.[Nikolaos], Liu, Z.C.[Zi-Cheng], Chen, Y.P.[Yin-Peng], Soatto, S.[Stefano],
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification,
ECCV18(VI: 737-756).
Springer DOI 1810
BibRef

Ma, L., Zhang, X., Lan, L., Huang, X., Luo, Z.,
Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification,
ICIP18(1648-1652)
IEEE DOI 1809
Cameras, Task analysis, Correlation, Standards, Covariance matrices, Feature extraction, Surveillance, Canonical correlation analysis, person re-identification BibRef

Wu, W., Wu, A., Zheng, W.,
Light Person Re-Identification by Multi-Cue Tiny Net,
ICIP18(1643-1647)
IEEE DOI 1809
Feature extraction, Computational modeling, Convolution, Dimensionality reduction, Training, Image color analysis, tiny CNNs BibRef

Zhang, X., Pala, F., Bhanu, B.,
Attributes co-occurrence pattern mining for video-based person re-identification,
AVSS17(1-6)
IEEE DOI 1806
data mining, feature extraction, image classification, image sensors, Videos BibRef

Zhu, X., Bhuiyan, A., Mekhalfi, M.L., Murino, V.,
Exploiting Gaussian mixture importance for person re-identification,
AVSS17(1-6)
IEEE DOI 1806
Gaussian processes, feature extraction, learning (artificial intelligence), mixture models, GMIE scores, Robustness BibRef

Wang, D., Hao, L., Zhu, Y.,
An aligned bidirectional feature representation for person re-identification,
VCIP17(1-4)
IEEE DOI 1804
cellular automata, feature extraction, image recognition, image representation, image segmentation, PRID365 dataset, person re-identification BibRef

Zhuang, Z.J.[Zi-Jie], Ai, H.Z.[Hai-Zhou], Chen, L.[Long], Shang, C.[Chong],
Cross-Resolution Person Re-identification with Deep Antithetical Learning,
ACCV18(III:233-248).
Springer DOI 1906
BibRef

Zhuang, Z.J.[Zi-Jie], Ai, H.Z.[Hai-Zhou], Shang, C.[Chong], Xiao, L.,
Person re-identification with coarse-to-fine visual attention,
ICIP17(1097-1101)
IEEE DOI 1803
Convolution, Data mining, Feature extraction, Histograms, Image color analysis, Task analysis, Training, attention model, person re-identification BibRef

Elaoud, A.[Amani], Barhoumi, W.[Walid], Drira, H.[Hassen], Zagrouba, E.[Ezzeddine],
Analysis of Skeletal Shape Trajectories for Person Re-Identification,
ACIVS17(138-149).
Springer DOI 1712
BibRef

Sun, X.X.[Xiao-Xiao], Zheng, L.[Liang],
Dissecting Person Re-Identification From the Viewpoint of Viewpoint,
CVPR19(608-617).
IEEE DOI 2002
BibRef

Zhong, Z.[Zhun], Zheng, L.[Liang], Cao, D., Li, S.Z.[Shao-Zi],
Re-ranking Person Re-identification with k-Reciprocal Encoding,
CVPR17(3652-3661)
IEEE DOI 1711
Encoding, Feature extraction, Measurement, Probes, Robustness BibRef

Zheng, L., Zhang, H., Sun, S., Chandraker, M., Yang, Y., Tian, Q.,
Person Re-identification in the Wild,
CVPR17(3346-3355)
IEEE DOI 1711
Benchmark testing, Cameras, Detectors, Measurement, Pipelines, Training BibRef

Bai, S., Bai, X., Tian, Q.,
Scalable Person Re-identification on Supervised Smoothed Manifold,
CVPR17(3356-3365)
IEEE DOI 1711
Feature extraction, Manifolds, Measurement, Probes, Time complexity, Training, data BibRef

Zhao, H., Tian, M., Sun, S., Shao, J., Yan, J., Yi, S., Wang, X., Tang, X.,
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion,
CVPR17(907-915)
IEEE DOI 1711
Body regions, Cameras, Feature extraction, Legged locomotion, Measurement, Pipelines, Semantics BibRef

Li, Y., Zhuo, L., Li, J., Zhang, J., Liang, X., Tian, Q.,
Video-Based Person Re-identification by Deep Feature Guided Pooling,
Re-Id17(1454-1461)
IEEE DOI 1709
Cameras, Feature extraction, Histograms, Machine learning, Measurement, Robustness, Video sequences BibRef

Chen, L., Yang, H., Zhu, J., Zhou, Q., Wu, S., Gao, Z.,
Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification,
Re-Id17(1478-1485)
IEEE DOI 1709
Data mining, Feature extraction, Fuses, Image sequences, Lighting, Recurrent neural networks, Visualization BibRef

Fang, H.[Han], Chen, J.[Jun], Tian, Q.[Qi],
Multi-branch Body Region Alignment Network for Person Re-identification,
MMMod20(I:341-352).
Springer DOI 2003
BibRef

Raychaudhuri, D.S.[Dripta S.], Roy-Chowdhury, A.K.[Amit K.],
Exploiting Temporal Coherence for Self-supervised One-shot Video Re-identification,
ECCV20(XXVII:258-274).
Springer DOI 2011
BibRef

Martinel, N.[Niki], Das, A.[Abir], Micheloni, C.[Christian], Roy-Chowdhury, A.K.[Amit K.],
Temporal Model Adaptation for Person Re-identification,
ECCV16(IV: 858-877).
Springer DOI 1611
BibRef

Yan, Y.C.[Yi-Chao], Ni, B.B.[Bing-Bing], Song, Z.C.[Zhi-Chao], Ma, C.[Chao], Yan, Y.[Yan], Yang, X.K.[Xiao-Kang],
Person Re-identification via Recurrent Feature Aggregation,
ECCV16(VI: 701-716).
Springer DOI 1611
BibRef

Huang, Y., Sheng, H.[Hao], Xiong, Z.[Zhang],
Person re-identification based on hierarchical bipartite graph matching,
ICIP16(4255-4259)
IEEE DOI 1610
Bipartite graph BibRef

Noor, D.F., Li, Z., Nagar, A.,
Robust object re-identification with Grassmann subspace feature for key points aggregation,
ICIP16(4260-4263)
IEEE DOI 1610
Decision support systems BibRef

Wang, H., Zhu, X., Xiang, T., Gong, S.,
Towards unsupervised open-set person re-identification,
ICIP16(769-773)
IEEE DOI 1610
Cameras BibRef

Gao, M., Ai, H., Bai, B.,
A feature fusion strategy for person re-identification,
ICIP16(4274-4278)
IEEE DOI 1610
Cameras BibRef

Zhu, F., Chu, Q., Yu, N.,
Consistent matching based on boosted salience channels for group re-identification,
ICIP16(4279-4283)
IEEE DOI 1610
Cameras BibRef

Liu, Z., Chen, J., Wang, Y.,
A fast adaptive spatio-temporal 3D feature for video-based person re-identification,
ICIP16(4294-4298)
IEEE DOI 1610
Cameras BibRef

Umeda, T.[Takayuki], Sun, Y.Q.[Yong-Qing], Irie, G.[Go], Sudo, K.[Kyoko], Kinebuchi, T.[Tetsuya],
Attribute Discovery for Person Re-Identification,
MMMod16(II: 268-276).
Springer DOI 1601
BibRef

Schumann, A., Stiefelhagen, R.[Rainer],
Transferring attributes for person re-identification,
AVSS15(1-6)
IEEE DOI 1511
cameras BibRef

Garg, S., Kumar, S., Ratnakaram, R., Guha, P.,
An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,
AVSS15(1-6)
IEEE DOI 1511
cameras BibRef

Wei, L.[Li], Shah, S.K.[Shishir K.],
Subject centric group feature for person re-identification,
Crowd15(28-35)
IEEE DOI 1510
Accuracy BibRef

Zeng, M.Y.[Ming-Yong], Wu, Z.M.[Ze-Min], Tian, C.[Chang], Zhang, L.[Lei], Hu, L.[Lei],
Efficient person re-identification by hybrid spatiogram and covariance descriptor,
PBVS15(48-56)
IEEE DOI 1510
Covariance matrices BibRef

Shi, Z.Y.[Zhi-Yuan], Hospedales, T.M.[Timothy M.], Xiang, T.[Tao],
Transferring a semantic representation for person re-identification and search,
CVPR15(4184-4193)
IEEE DOI 1510
BibRef

Jones, M., Kobori, H.,
Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity,
AMFG17(1555-1563)
IEEE DOI 1802
Face, Face recognition, Feature extraction, Standards, Support vector machines, Testing, Training BibRef

Zheng, L.[Liang], Wang, S.J.[Sheng-Jin], Tian, L.[Lu], He, F.[Fei], Liu, Z.Q.[Zi-Qiong], Tian, Q.[Qi],
Query-adaptive late fusion for image search and person re-identification,
CVPR15(1741-1750)
IEEE DOI 1510
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Zhou, Z.[Zhi], Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
People Re-identification Based on Bags of Semantic Features,
HIS14(574-586).
Springer DOI 1504
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Nanda, A.[Aparajita], Sa, P.K.[Pankaj K.],
Person Re-identification Using Clustering Ensemble Prototypes,
FSLCV14(III: 96-108).
Springer DOI 1504
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Si, J.L.[Jian-Lou], Zhang, H.G.[Hong-Gang], Li, C.G.[Chun-Guang],
Person re-identification via region-of-interest based features,
VCIP14(249-252)
IEEE DOI 1504
cameras BibRef

Huynh, O.[Olivier], Stanciulescu, B.[Bogdan],
Person Re-identification Using the Silhouette Shape Described by a Point Distribution Model,
WACV15(929-934)
IEEE DOI 1503
Computational modeling BibRef

Zhao, Y.[Yanna], Zhao, X.[Xu], Liu, Y.C.[Yun-Cai],
Person re-identification by free energy score space encoding,
ICIP14(2452-2456)
IEEE DOI 1502
Computational modeling BibRef

Wang, Z.[Zheng], Hu, R.M.[Rui-Min], Liang, C.[Chao], Jiang, J.J.[Jun-Jun], Sun, K.M.[Kai-Min], Leng, Q.M.[Qing-Ming], Huang, B.Y.[Bing-Yue],
Person Re-identification Using Data-Driven Metric Adaptation,
MMMod15(II: 195-207).
Springer DOI 1501
BibRef

Huang, B.Y.[Bing-Yue], Chen, J.[Jun], Wang, Y.M.[Yi-Min], Liang, C.[Chao], Wang, Z.[Zheng], Sun, K.[Kaimin],
Sparsity-Based Occlusion Handling Method for Person Re-identification,
MMMod15(II: 61-73).
Springer DOI 1501
BibRef

Ye, M.[Mang], Chen, J.[Jun], Leng, Q.M.[Qing-Ming], Liang, C.[Chao], Wang, Z.[Zheng], Sun, K.M.[Kai-Min],
Coupled-View Based Ranking Optimization for Person Re-identification,
MMMod15(I: 105-117).
Springer DOI 1501
BibRef

Ren, W.Y.[Wei-Ya], Li, G.H.[Guo-Hui],
Person Re-identification Based on Relaxed Nonnegative Matrix Factorization with Regularizations,
ICPR14(4654-4659)
IEEE DOI 1412
Cameras BibRef

Castrillon-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Hernandez-Sosa, D.[Daniel],
People Semantic Description and Re-identification from Point Cloud Geometry,
ICPR14(4702-4707)
IEEE DOI 1412
Cameras BibRef

Farinella, G.M.[Giovanni Maria], Farioli, G.[Giuseppe], Battiato, S.[Sebastiano], Leonardi, S.[Salvo], Gallo, G.[Giovanni],
Face Re-Identification for Digital Signage Applications,
VAAM14(40-52).
Springer DOI 1411
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Dutra, C.R.S.[Cristianne R. S.], Rocha, M.C.[Matheus Castro], Schwartz, W.R.[William Robson],
Person Re-Identification Based on Weighted Indexing Structures,
CIARP14(359-366).
Springer DOI 1411
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Kasturi, R.[Rangachar], Ekambaram, R.[Rajmadhan],
Person Reidentification and Recognition in Video,
CIARP14(280-293).
Springer DOI 1411
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Schumann, A.[Arne], Monari, E.[Eduardo],
A soft-biometrics dataset for person tracking and re-identification,
AVSS14(193-198)
IEEE DOI
PDF File. 1411
Accuracy Dataset:
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Cancela, B.[Brais], Hospedales, T.M.[Timothy M.], Gong, S.G.[Shao-Gang],
Open-world Person Re-Identification by Multi-Label Assignment Inference,
BMVC14(xx-yy).
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Layne, R.[Ryan], Hospedales, T.M.[Timothy M.], Gong, S.G.[Shao-Gang],
Investigating Open-World Person Re-identification Using a Drone,
Re-Id14(225-240).
Springer DOI 1504
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BMVC14(xx-yy).
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DOI Link 1301
BibRef
Earlier:
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Re-Id12(I: 402-412).
Springer DOI 1210
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Eiselein, V.[Volker], Sternharz, G.[Gleb], Senst, T.[Tobias], Keller, I.[Ivo], Sikora, T.[Thomas],
Person Re-identification Using Region Covariance in a Multi-feature Approach,
ICIAR14(II: 77-84).
Springer DOI 1410
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Hu, Y.[Yang], Yi, D.[Dong], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Cross Dataset Person Re-identification,
HIS14(650-664).
Springer DOI 1504
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Hu, Y.[Yang], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Yi, D.[Dong], Li, S.Z.[Stan Z.],
Exploring Structural Information and Fusing Multiple Features for Person Re-identification,
CNWASA13(794-799)
IEEE DOI 1309
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Gou, M.R.[Meng-Ran], Zhang, X.K.[Xi-Kang], Rates-Borras, A.[Angels], Asghari-Esfeden, S.[Sadjad], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
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Shi, J.P.[Jian-Ping], Liao, R.J.[Ren-Jie], Jia, J.Y.[Jia-Ya],
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ICCV13(2096-2103)
IEEE DOI 1403
HCD dataset; Human co-detection; co-training; human identity labeling. Persons in multiple images. BibRef

Xu, Y.L.[Yuan-Lu], Lin, L.[Liang], Zheng, W.S.[Wei-Shi], Liu, X.B.[Xiao-Bai],
Human Re-identification by Matching Compositional Template with Cluster Sampling,
ICCV13(3152-3159)
IEEE DOI 1403
Computer Vision BibRef

Mitsugami, I., Hattori, H., Minoh, M.,
Improving Human Detection by Long-Term Observation,
ACPR13(662-666)
IEEE DOI 1408
calibration BibRef

Liu, H.[Hao], Qin, L.[Lei], Cheng, Z.W.[Zhong-Wei], Huang, Q.M.[Qing-Ming],
Set-based classification for person re-identification utilizing mutual-information,
ICIP13(3078-3082)
IEEE DOI 1402
Person re-identification;mutual information;video surveillance BibRef

Liu, K.[Kai], Guo, X.[Xin], Zhao, Z.C.[Zhi-Cheng], Cai, A.N.[An-Ni],
Person re-identification using matrix completion,
ICIP13(3098-3102)
IEEE DOI 1402
Person re-identification BibRef

Salvagnini, P.[Pietro], Bazzani, L.[Loris], Cristani, M.[Marco], Murino, V.[Vittorio],
Person re-identification with a PTZ camera: An introductory study,
ICIP13(3552-3556)
IEEE DOI 1402
Pan-Tilt-Zoom camera;Person Re-identification BibRef

Loy, C.C.[Chen Change], Liu, C.X.[Chun-Xiao], Gong, S.G.[Shao-Gang],
Person re-identification by manifold ranking,
ICIP13(3567-3571)
IEEE DOI 1402
distance metric learning BibRef

Khedher, M.I.[Mohamed Ibn], El Yacoubi, M.A.[Mounim A.], Dorizzi, B.[Bernadette],
Multi-shot SURF-based person re-identification via sparse representation,
AVSS13(159-164)
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Cameras BibRef

Pedagadi, S.[Sateesh], Orwell, J.[James], Boghossian, B.[Boghos],
Integral Line Scan Features for Pedestrian Detection,
ICPR14(2383-2388)
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Boosting BibRef

Pedagadi, S.[Sateesh], Orwell, J.[James], Velastin, S.A.[Sergio A.], Boghossian, B.[Boghos],
Local Fisher Discriminant Analysis for Pedestrian Re-identification,
CVPR13(3318-3325)
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Metric Learning; Object recognition; Pedestrain Re-identification BibRef

Gade, R.[Rikke], Jorgensen, A.[Anders], Moeslund, T.B.[Thomas B.],
Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery,
CVPR13(3698-3705)
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Joint Probabilistic Matching Using m-Best Solutions,
CVPR16(136-145)
IEEE DOI 1612
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Joint Probabilistic Data Association Revisited,
ICCV15(3047-3055)
IEEE DOI 1602
Clutter BibRef

Milan, A.[Anton], Gade, R.[Rikke], Dick, A.[Anthony], Moeslund, T.B.[Thomas B.], Reid, I.D.[Ian D.],
Improving Global Multi-target Tracking with Local Updates,
Re-Id14(174-190).
Springer DOI 1504
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Yang, Y.[Yan], Dadgostar, F., Mau, S., Lovell, B.C.,
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DICTA12(1-6).
IEEE DOI 1303
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Bialkowski, A., Lucey, P., Wei, X.Y.[Xin-Yu], Sridharan, S.,
Person Re-Identification Using Group Information,
DICTA13(1-6)
IEEE DOI 1402
feature extraction BibRef

Wu, Y.[Yang], Minoh, M.[Michihiko], Mukunoki, M.[Masayuki], Lao, S.H.[Shi-Hong],
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AVSS15(1-6)
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object detection BibRef

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Datta, A.[Ankur], Brown, L.M.[Lisa M.], Feris, R.S.[Rogerio S.], Pankanti, S.[Sharathchandra],
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Karaman, S.[Svebor], Bagdanov, A.D.[Andrew D.],
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Cameras BibRef

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Improved weak labels using contextual cues for person identification in videos,
FG15(1-8)
IEEE DOI 1508
face recognition BibRef
Earlier: A2, A1, A3:
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AVSS14(7-12)
IEEE DOI 1411
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Earlier: A2, A1, A3:
Semi-supervised Learning with Constraints for Person Identification in Multimedia Data,
CVPR13(3602-3609)
IEEE DOI 1309
BibRef
Earlier: A1, A2, A3:
'Knock! Knock! Who is it?' probabilistic person identification in TV-series,
CVPR12(2658-2665).
IEEE DOI 1208
Face BibRef

Wang, S.[Simi], Lewandowski, M.[Michal], Annesley, J.[James], Orwell, J.[James],
Re-identification of pedestrians with variable occlusion and scale,
VS11(1876-1882).
IEEE DOI 1201
BibRef

Kai, J.L.[Jung-Ling], Arens, M.,
View-invariant person re-identification with an Implicit Shape Model,
AVSBS11(197-202).
IEEE DOI 1111
BibRef

Cheng, D.S.[Dong Seon], Cristani, M.[Marco], Stoppa, M.[Michele], Bazzani, L.[Loris], Murino, V.[Vittorio],
Custom Pictorial Structures for Re-identification,
BMVC11(xx-yy).
HTML Version. 1110
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Yang, J.[Jun], Shi, Z.K.[Zhong-Ke], Vela, P.A.[Patricio A.],
Person Reidentification by Kernel PCA Based Appearance Learning,
CRV11(227-233).
IEEE DOI 1105
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Aziz, K.E.[Kheir-Eddine], Merad, D.[Djamel], Fertil, B.[Bernard],
Person Re-identification Using Appearance Classification,
ICIAR11(II: 170-179).
Springer DOI 1106
BibRef

Hirzer, M.[Martin], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Person Re-identification by Efficient Impostor-Based Metric Learning,
AVSS12(203-208).
IEEE DOI 1211
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Hirzer, M.[Martin], Roth, P.M.[Peter M.], Köstinger, M.[Martin], Bischof, H.[Horst],
Relaxed Pairwise Learned Metric for Person Re-identification,
ECCV12(VI: 780-793).
Springer DOI 1210
BibRef

Hirzer, M.[Martin], Beleznai, C.[Csaba], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Person Re-identification by Descriptive and Discriminative Classification,
SCIA11(91-102).
Springer DOI 1105
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Khan, A.[Arif], Zhang, J.[Jian], Wang, Y.[Yang],
Appearance-Based Re-identification of People in Video,
DICTA10(357-362).
IEEE DOI 1012
BibRef

Kai, J.L.[Jung-Ling], Arens, M.,
Local Feature Based Person Reidentification in Infrared Image Sequences,
AVSS10(448-455).
IEEE DOI 1009
BibRef

Huang, C.H.[Chung-Hsien], Wu, Y.T.[Yi-Ta], Shih, M.Y.[Ming-Yu],
Unsupervised Pedestrian Re-identification for Loitering Detection,
PSIVT09(771-783).
Springer DOI 0901
BibRef

Hamdoun, O.[Omar], Moutarde, F.[Fabien], Stanciulescu, B.[Bogdan], Steux, B.[Bruno],
Interest points harvesting in video sequences for efficient person identification,
VS08(xx-yy). 0810
BibRef
And:
Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences,
ICDSC08(1-6).
IEEE DOI 0809
BibRef

Gheissari, N.[Niloofar], Sebastian, T.B.[Thomas B.], Hartley, R.I.[Richard I.],
Person Reidentification Using Spatiotemporal Appearance,
CVPR06(II: 1528-1535).
IEEE DOI 0606
BibRef

Oberti, F., Calcagno, S., Zara, M., Regazzoni, C.S.,
Robust tracking of humans and vehicles in cluttered scenes with occlusions,
ICIP02(III: 629-632).
IEEE DOI 0210
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Tracking People, Re-Identification Issues, Learning .

Last update:Jan 15, 2025 at 14:36:47