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PAMI(40), No. 5, May 2018, pp. 1167-1181.
IEEE DOI
1804
BibRef
Earlier:
Multi-Task Learning with Low Rank Attribute Embedding for Person
Re-Identification,
ICCV15(3739-3747)
IEEE DOI
1602
Cameras, Correlation, Linear programming, Measurement, Optimization,
Robustness, Visualization, Multi-task learning, attribute, low rank,
person re-identification
BibRef
Zhang, Z.Z.[Zhi-Zhong],
Xie, Y.[Yuan],
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Tensor Multi-Task Learning for Person Re-Identification,
IP(29), 2020, pp. 2463-2477.
IEEE DOI
2001
Cameras, Task analysis, Measurement, Visualization, Training,
Computational modeling, Person re-identification,
tensor optimization
BibRef
Tao, D.,
Guo, Y.,
Yu, B.,
Pang, J.,
Yu, Z.,
Deep Multi-View Feature Learning for Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2657-2666.
IEEE DOI
1811
Feature extraction, Measurement, Image color analysis,
Machine learning, Robustness, Collaboration,
intelligent video analysis
BibRef
Xin, X.M.[Xiao-Meng],
Wang, J.J.[Jin-Jun],
Xie, R.J.[Ru-Ji],
Zhou, S.P.[San-Ping],
Huang, W.L.[Wen-Li],
Zheng, N.N.[Nan-Ning],
Semi-supervised person re-identification using multi-view clustering,
PR(88), 2019, pp. 285-297.
Elsevier DOI
1901
Person re-identification, Semi-supervised learning,
Convolutional neural network, Multi-view clustering
BibRef
Zhou, S.[Shuren],
Ke, M.L.[Mao-Lin],
Luo, P.[Peng],
Multi-camera transfer GAN for person re-identification,
JVCIR(59), 2019, pp. 393-400.
Elsevier DOI
1903
Generative adversarial networks, Deep learning,
Person re-identification
BibRef
Cho, Y.J.[Yeong-Jun],
Kim, S.A.[Su-A],
Park, J.H.[Jae-Han],
Lee, K.[Kyuewang],
Yoon, K.J.[Kuk-Jin],
Joint person re-identification and camera network topology inference
in multiple cameras,
CVIU(180), 2019, pp. 34-46.
Elsevier DOI
1903
BibRef
Yuan, M.Y.[Ming-Yue],
Yin, D.[Dong],
Ding, J.W.[Jin-Wen],
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Zhu, C.F.[Cheng-Feng],
Zhang, R.[Rui],
Wang, A.[An],
A multi-image Joint Re-ranking framework with updateable Image Pool
for person re-identification,
JVCIR(59), 2019, pp. 527-536.
Elsevier DOI
1903
Person re-identification, Image pool, Multi-shot, Re-ranking
BibRef
Wei, L.,
Zhang, S.,
Yao, H.,
Gao, W.,
Tian, Q.,
GLAD: Global-Local-Alignment Descriptor for Scalable Person
Re-Identification,
MultMed(21), No. 4, April 2019, pp. 986-999.
IEEE DOI
1903
Robustness, Feature extraction, Cameras, Measurement, Indexing,
Task analysis, Machine learning,
retrieval framework
BibRef
Nguyen, T.B.[Thuy-Binh],
Le, T.L.[Thi-Lan],
Pham, N.N.[Ngoc-Nam],
Images-to-images person ReID without temporal linking,
IJCVR(9), No. 2, 2019, pp. 152-171.
DOI Link
1904
BibRef
Sun, C.C.[Chi-Chia],
Sheu, M.H.[Ming-Hwa],
Chi, J.Y.[Jui-Yang],
Huang, Y.K.[Yan-Kai],
A Fast Non-Overlapping Multi-Camera People Re-Identification Algorithm
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IEICE(E102-D), No. 7, July 2019, pp. 1342-1348
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1907
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Panda, R.[Rameswar],
Bhuiyan, A.[Amran],
Murino, V.[Vittorio],
Roy-Chowdhury, A.K.[Amit K.],
Adaptation of person re-identification models for on-boarding new
camera(s),
PR(96), 2019, pp. 106991.
Elsevier DOI
1909
Person re-identification, Camera network, Model adaptation,
Limited supervision, Camera on-boarding,
BibRef
McLaughlin, N.,
del Rincon, J.M.,
Miller, P.,
Video Person Re-Identification for Wide Area Tracking Based on
Recurrent Neural Networks,
CirSysVideo(29), No. 9, September 2019, pp. 2613-2626.
IEEE DOI
1909
Cameras, Feature extraction, Image color analysis, Neural networks,
Optical imaging, Optical network units, Video sequences,
wide area tracking
BibRef
Narayan, N.[Neeti],
Sankaran, N.[Nishant],
Setlur, S.[Srirangaraj],
Govindaraju, V.[Venu],
Learning deep features for online person tracking using
non-overlapping cameras: A survey,
IVC(89), 2019, pp. 222-235.
Elsevier DOI
1909
Survey, Re-Identification. Online person tracking, Re-identification, Surveillance,
Deep features, Recurrent neural network
BibRef
Feng, Z.,
Lai, J.,
Xie, X.,
Learning Modality-Specific Representations for Visible-Infrared
Person Re-Identification,
IP(29), No. 1, 2020, pp. 579-590.
IEEE DOI
1910
cameras, feature extraction, image classification, image matching,
image representation, infrared imaging,
cross-modality constraint
BibRef
Lin, Y.T.[Yu-Tian],
Zheng, Z.D.[Zhe-Dong],
Zhang, H.[Hong],
Gao, C.Q.[Chen-Qiang],
Yang, Y.[Yi],
Bayesian query expansion for multi-camera person re-identification,
PRL(130), 2020, pp. 284-292.
Elsevier DOI
2002
Person re-identification, Re-rank, Query expansion
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Zheng, A.[Aihua],
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Elsevier DOI
2005
Person re-identification, Sparse ranking, Joint graph regularization
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Wang, X.[Xiao],
Zheng, S.F.[Shao-Fei],
Yang, R.[Rui],
Zheng, A.[Aihua],
Chen, Z.[Zhe],
Tang, J.[Jin],
Luo, B.[Bin],
Pedestrian attribute recognition: A survey,
PR(121), 2022, pp. 108220.
Elsevier DOI
2109
Pedestrian attribute recognition, Multi-label learning,
Multi-task learning, Deep learning, CNN-RNN
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Qi, L.,
Wang, L.,
Huo, J.,
Shi, Y.,
Gao, Y.,
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised
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CirSysVideo(30), No. 9, September 2020, pp. 2815-2829.
IEEE DOI
2009
Cameras, Training, Task analysis, Semisupervised learning, Manuals,
Lighting, Image resolution, Person re-identification,
progressive cross-camera soft-label learning
BibRef
Chen, S.,
Fan, Z.,
Yin, J.,
Pseudo Label Based on Multiple Clustering for Unsupervised
Cross-Domain Person Re-Identification,
SPLetters(27), 2020, pp. 1460-1464.
IEEE DOI
2009
Training, Feature extraction, Robustness, Measurement,
Clustering algorithms, Adaptation models, Task analysis,
Local information
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Zhu, X.P.[Xiang-Ping],
Zhu, X.T.[Xia-Tian],
Li, M.X.[Min-Xian],
Morerio, P.[Pietro],
Murino, V.[Vittorio],
Gong, S.G.[Shao-Gang],
Intra-Camera Supervised Person Re-Identification,
IJCV(129), No. 5, May 2021, pp. 1580-1595.
Springer DOI
2105
BibRef
Zhu, X.P.[Xiang-Ping],
Zhu, X.T.[Xia-Tian],
Li, M.X.[Min-Xian],
Murino, V.,
Gong, S.,
Intra-Camera Supervised Person Re-Identification: A New Benchmark,
RLQ19(1079-1087)
IEEE DOI
2004
cameras, image representation,
learning (artificial intelligence), neural nets,
intra camera supervised re identification
BibRef
Jia, X.B.[Xi-Bin],
Wang, X.[Xing],
Mi, Q.[Qing],
An unsupervised person re-identification approach based on cross-view
distribution alignment,
IET-IPR(15), No. 11, 2021, pp. 2693-2704.
DOI Link
2108
BibRef
Zhao, C.R.[Cai-Rong],
Tu, Y.P.[Yuan-Peng],
Lai, Z.H.[Zhi-Hui],
Shen, F.M.[Fu-Min],
Shen, H.T.[Heng Tao],
Miao, D.Q.[Duo-Qian],
Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person
Re-Identification,
IP(30), 2021, pp. 7776-7789.
IEEE DOI
2109
Training, Feature extraction, Redundancy, Quantization (signal),
Amplitude modulation, Cameras, mutual learning
BibRef
Wang, X.P.[Xue-Ping],
Panda, R.[Rameswar],
Liu, M.[Min],
Wang, Y.[Yaonan],
Roy-Chowdhury, A.K.[Amit K.],
Exploiting Global Camera Network Constraints for Unsupervised Video
Person Re-Identification,
CirSysVideo(31), No. 10, October 2021, pp. 4020-4030.
IEEE DOI
2110
Cameras, Reliability, Measurement, Task analysis, Estimation,
Data models, Training, Video person re-identification,
cross-view label estimation
BibRef
Gao, W.[Wenbo],
Liu, L.[Li],
Zhu, L.[Lei],
Zhang, H.X.[Hua-Xiang],
Visible-infrared person re-identification based on key-point feature
extraction and optimization,
JVCIR(85), 2022, pp. 103511.
Elsevier DOI
2205
Visible-infrared person re-identification, Feature extraction,
Multi-hop, Self-attention
BibRef
Liu, Y.H.[Yi-Heng],
Zhou, W.G.[Wen-Gang],
Xi, M.[Mao],
Shen, S.[Sanjing],
Li, H.Q.[Hou-Qiang],
Multi-Modal Context Propagation for Person Re-Identification With
Wireless Positioning,
MultMed(24), 2022, pp. 3060-3073.
IEEE DOI
2206
Wireless communication, Visualization, Wireless sensor networks,
Trajectory, Video sequences, Wireless fidelity, Cameras,
unsupervised cross-domain learning
BibRef
Cheng, X.Z.[Xiao-Zhou],
Li, R.[Rui],
Sun, Y.J.[Yan-Jing],
Zhou, Y.[Yu],
Dong, K.W.[Kai-Wen],
Gray Augmentation Exploration with All-Modality Center-Triplet Loss for
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IEICE(E105-D), No. 7, July 2022, pp. 1356-1360.
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2207
BibRef
Zhang, D.[Demao],
Zhang, Z.Z.[Zhi-Zhong],
Ju, Y.[Ying],
Wang, C.[Cong],
Xie, Y.[Yuan],
Qu, Y.Y.[Yan-Yun],
Dual Mutual Learning for Cross-Modality Person Re-Identification,
CirSysVideo(32), No. 8, August 2022, pp. 5361-5373.
IEEE DOI
2208
Training, Task analysis, Surveillance, Sensors,
Representation learning, Knowledge engineering,
attention alignment
BibRef
Bai, S.T.[Shu-Tao],
Ma, B.P.[Bing-Peng],
Chang, H.[Hong],
Huang, R.[Rui],
Chen, X.L.[Xi-Lin],
Salient-to-Broad Transition for Video Person Re-identification,
CVPR22(7329-7338)
IEEE DOI
2210
Codes, Benchmark testing, Pattern recognition,
Recognition: detection, categorization, retrieval
BibRef
Fu, X.W.[Xiao-Wei],
Huang, F.[Fuxiang],
Zhou, Y.H.[Yu-Hang],
Ma, H.M.[Hui-Min],
Xu, X.[Xin],
Zhang, L.[Lei],
Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared
Person Re-Identification,
CirSysVideo(32), No. 10, October 2022, pp. 6874-6887.
IEEE DOI
2210
Feature extraction, Task analysis, Lighting, Image color analysis,
Protocols, Training, Person Re-ID, domain adaptation,
cross-modal learning
BibRef
Li, Y.S.[Yun-Shang],
Chen, Y.[Ying],
Infrared-visible cross-modal person re-identification via
dual-attention collaborative learning,
SP:IC(109), 2022, pp. 116868.
Elsevier DOI
2210
Person re-identification, Cross-modality,
Dual attention, Collaborative learning
BibRef
Wang, M.L.[Meng-Lin],
Li, J.C.[Jia-Chen],
Lai, B.[Baisheng],
Gong, X.J.[Xiao-Jin],
Hua, X.S.[Xian-Sheng],
Offline-Online Associated Camera-Aware Proxies for Unsupervised
Person Re-Identification,
IP(31), 2022, pp. 6548-6561.
IEEE DOI
2211
Cameras, Task analysis, Feature extraction, Indexes,
Hybrid power systems, Annotations, Video surveillance, proxies
BibRef
Li, Y.L.[Yu-Lin],
Zhang, T.Z.[Tian-Zhu],
Liu, X.[Xiang],
Tian, Q.[Qi],
Zhang, Y.D.[Yong-Dong],
Wu, F.[Feng],
Visible-Infrared Person Re-Identification With Modality-Specific
Memory Network,
IP(31), 2022, pp. 7165-7178.
IEEE DOI
2212
Feature extraction, Image reconstruction,
Representation learning, Measurement, Bridges, Task analysis,
missing modality information completion
BibRef
Jiang, K.Z.[Kong-Zhu],
Zhang, T.Z.[Tian-Zhu],
Liu, X.[Xiang],
Qian, B.Q.[Bing-Qiao],
Zhang, Y.D.[Yong-Dong],
Wu, F.[Feng],
Cross-Modality Transformer for Visible-Infrared Person
Re-Identification,
ECCV22(XIV:480-496).
Springer DOI
2211
BibRef
Zheng, X.T.[Xiang-Tao],
Chen, X.M.[Xiu-Mei],
Lu, X.Q.[Xiao-Qiang],
Visible-Infrared Person Re-Identification via Partially Interactive
Collaboration,
IP(31), 2022, pp. 6951-6963.
IEEE DOI
2212
Collaboration, Feature extraction, Training, Federated learning,
Cameras, Task analysis, Representation learning, partially interactive-shared
BibRef
Gavini, Y.[Yaswanth],
Agarwal, A.[Arun],
Mehtre, B.M.,
Thermal to Visual Person Re-Identification Using Collaborative Metric
Learning Based on Maximum Margin Matrix Factorization,
PR(134), 2023, pp. 109069.
Elsevier DOI
2212
Thermal to visual person re-identification,
Cross-domain image retrieval, Collaborative metric learning,
Matrix factorization
BibRef
Li, Y.Y.[Yue-Ying],
Zhang, H.X.[Hua-Xiang],
Liu, L.[Li],
HCFN: Hierarchical cross-modal shared feature network for
visible-infrared person re-identification,
JVCIR(89), 2022, pp. 103689.
Elsevier DOI
2212
Visible-infrared person re-identification, Feature extraction,
Deep learning, Hierarchical attention mechanism
BibRef
Sun, R.[Rui],
Yang, Z.[Zi],
Zhang, L.[Lei],
Yu, Y.H.[Yi-Heng],
Orthogonal Deep Feature Decomposition Network for Cross-Resolution
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IEICE(E105-D), No. 11, November 2022, pp. 1994-1997.
WWW Link.
2212
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Wan, L.[Lin],
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Jing, Q.[Qianyan],
Chen, Y.[Yehansen],
Lu, L.[Lijing],
Li, Z.H.[Zhi-Hang],
G2DA: Geometry-guided dual-alignment learning for RGB-infrared person
re-identification,
PR(135), 2023, pp. 109150.
Elsevier DOI
2212
Person re-identification, Cross-modality matching,
optimal transport, Feature alignment, Channel exchange
BibRef
Huang, N.C.[Nian-Chang],
Liu, J.A.[Jian-An],
Luo, Y.J.[Yong-Jiang],
Zhang, Q.[Qiang],
Han, J.G.[Jun-Gong],
Exploring modality-shared appearance features and modality-invariant
relation features for cross-modality person Re-IDentification,
PR(135), 2023, pp. 109145.
Elsevier DOI
2212
Cross-modality person Re-IDentification, Visible images,
Thermal infrared images, Modality-shared appearance features,
Modality-invariant relation features
BibRef
Wang, P.F.[Peng-Fei],
Pan, Y.Z.[Yu-Zhu],
Lin, C.[Chi],
Qi, H.[Heng],
Ren, J.K.[Jian-Kang],
Wang, N.[Ning],
Yu, Z.[Zhen],
Zhou, D.S.[Dong-Sheng],
Zhang, Q.[Qiang],
Graph Optimized Data Offloading for Crowd-AI Hybrid Urban Tracking in
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ITS(24), No. 1, January 2023, pp. 1075-1087.
IEEE DOI
2301
Urban tracking.
Cameras, Costs, Task analysis, Target tracking, Sensors,
Resource management, Videos, Urban tracking, data offloading, task allocation
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Sun, Z.Z.[Zong-Zhe],
Zhao, F.[Feng],
Counterfactual attention alignment for visible-infrared
cross-modality person re-identification,
PRL(168), 2023, pp. 79-85.
Elsevier DOI
2304
Person re-identification, Cross-modal, Attention
BibRef
Qi, L.[Lei],
Liu, J.Q.[Jia-Qi],
Wang, L.[Lei],
Shi, Y.[Yinghuan],
Geng, X.[Xin],
Unsupervised generalizable multi-source person re-identification:
A Domain-specific adaptive framework,
PR(140), 2023, pp. 109546.
Elsevier DOI
2305
Unsupervised domain generalization person ReID,
Domain-specific adaptive normalization
BibRef
Guidolin, M.[Mattia],
Tagliapietra, L.[Luca],
Menegatti, E.[Emanuele],
Reggiani, M.[Monica],
Hi-ROS: Open-source multi-camera sensor fusion for real-time people
tracking,
CVIU(232), 2023, pp. 103694.
Elsevier DOI
2305
Markerless motion capture, Multi-view body tracking, Real-time, ROS
BibRef
Liu, J.A.[Jian-An],
Liu, J.[Jian],
Zhang, Q.[Qiang],
M2FINet: Modality-specific and Modality-shared Features Interaction
Network for RGB-IR Person Re-Identification,
CVIU(232), 2023, pp. 103708.
Elsevier DOI
2305
RGB-IR Person Re-Identification, Feature interactions,
Person-related features, Modality-specific features, Modality-shared features
BibRef
Peng, Y.X.[Yi-Xing],
Jiao, J.[Jile],
Feng, X.T.[Xue-Tao],
Zheng, W.S.[Wei-Shi],
Consistent Discrepancy Learning for Intra-Camera Supervised Person
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MultMed(25), 2023, pp. 2393-2403.
IEEE DOI
2306
Prototypes, Annotations, Data models, Cameras, Reliability,
Adaptation models, Training, Intra-camera supervised,
person re-identification
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Zhang, X.[Xin],
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Cross-Camera Trajectories Help Person Retrieval in a Camera Network,
IP(32), 2023, pp. 3806-3820.
IEEE DOI
2307
Cameras, Pedestrians, Trajectory, Visualization, Legged locomotion,
Spatiotemporal phenomena, Data models, Person retrieval,
conditional random field
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Engilberge, M.[Martin],
Liu, W.Z.[Wei-Zhe],
Fua, P.[Pascal],
Multi-view Tracking Using Weakly Supervised Human Motion Prediction,
WACV23(1582-1592)
IEEE DOI
2302
Tracking, Computational modeling,
Algorithms: Video recognition and understanding (tracking
BibRef
Hu, S.T.[Shi-Teng],
Zhang, X.[Xin],
Xie, X.H.[Xiao-Hua],
Decoupled Contrastive Learning for Intra-Camera Supervised Person
Re-identification,
ICPR22(2628-2665)
IEEE DOI
2212
Integrated circuits, Training, Costs, Annotations, Manuals, Cameras
BibRef
Gong, J.H.[Jia-Hao],
Zhao, S.[Sanyuan],
Lam, K.M.[Kin-Man],
Interaction and Alignment for Visible-Infrared Person
Re-Identification,
ICPR22(2253-2259)
IEEE DOI
2212
Surveillance, Benchmark testing, Feature extraction, Optimization
BibRef
Ye, X.[Xiang],
Gao, G.W.[Guang-Wei],
Cross-Resolution Person Re-Identification via Deep Group-Aware
Representation Learning,
ICPR22(863-869)
IEEE DOI
2212
Representation learning, Image resolution, Probability,
Benchmark testing, Feature extraction, Cameras, Transformers
BibRef
Wang, J.M.[Jiang-Ming],
Zhang, Z.Z.[Zhi-Zhong],
Chen, M.G.[Min-Gang],
Zhang, Y.[Yi],
Wang, C.[Cong],
Sheng, B.[Bin],
Qu, Y.[Yanyun],
Xie, Y.[Yuan],
Optimal Transport for Label-Efficient Visible-Infrared Person
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ECCV22(XXIV:93-109).
Springer DOI
2211
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Zhang, Y.Y.[Yi-Yuan],
Zhao, S.[Sanyuan],
Kang, Y.H.[Yu-Hao],
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Modality Synergy Complement Learning with Cascaded Aggregation for
Visible-Infrared Person Re-Identification,
ECCV22(XIV:462-479).
Springer DOI
2211
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Li, X.[Xulin],
Lu, Y.[Yan],
Liu, B.[Bin],
Liu, Y.[Yating],
Yin, G.J.[Guo-Jun],
Chu, Q.[Qi],
Huang, J.Y.[Jin-Yang],
Zhu, F.[Feng],
Zhao, R.[Rui],
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Counterfactual Intervention Feature Transfer for Visible-Infrared
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ECCV22(XXVI:381-398).
Springer DOI
2211
BibRef
Perez-Yus, A.[Alejandro],
Agudo, A.[Antonio],
Matching and Recovering 3D People from Multiple Views,
WACV22(1184-1193)
IEEE DOI
2202
Solid modeling,
Uncertainty, Biological system modeling, Measurement uncertainty,
Biometrics -> Human Motion Analysis/Capture 3D Computer Vision
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Ahmad, S.[Shafiq],
Scarpellini, G.[Gianluca],
Morerio, P.[Pietro],
del Bue, A.[Alessio],
Event-driven Re-Id: A New Benchmark and Method Towards
Privacy-Preserving Person Re-Identification,
RWSurvil22(459-468)
IEEE DOI
2202
Image edge detection, Transforms, Vision sensors, Streaming media,
Sensor phenomena and characterization, Cameras, Video surveillance
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Wang, J.Y.[Jian-Yuan],
You, M.[Meiyue],
Leng, B.[Biao],
Jiang, M.[Ming],
Song, G.[Guanglu],
PCNET: Parallelly Conquer the Large Variance of Person
Re-Identification,
ICIP21(2368-2372)
IEEE DOI
2201
Image processing, Benchmark testing, Task analysis, Clutter,
Person Re-identification, Parallelly Conquer Net, Pixel Attention
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He, Y.H.[Yuan-Hang],
Yang, H.[Hua],
Chen, L.[Lin],
Adversarial Cross-Scale Alignment Pursuit for Seriously Misaligned
Person Re-Identification,
ICIP21(2373-2377)
IEEE DOI
2201
Performance evaluation, Filtering, Heuristic algorithms,
Stability analysis, Generators, Task analysis, GAN
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Xu, Y.[Yan],
Li, Y.J.[Yu-Jhe],
Weng, X.[Xinshuo],
Kitani, K.[Kris],
Wide-Baseline Multi-Camera Calibration using Person Re-Identification,
CVPR21(13129-13138)
IEEE DOI
2111
Pose estimation, Pipelines, Manuals, Cameras, Robustness, Calibration,
Pattern recognition
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Xuan, S.Y.[Shi-Yu],
Zhang, S.L.[Shi-Liang],
Intra-Inter Camera Similarity for Unsupervised Person
Re-Identification,
CVPR21(11921-11930)
IEEE DOI
2111
Training, Annotations,
Computer network reliability, Computational modeling,
Cameras
BibRef
Wang, M.L.[Meng-Lin],
Lai, B.[Baisheng],
Chen, H.[Haokun],
Huang, J.Q.[Jian-Qiang],
Gong, X.J.[Xiao-Jin],
Hua, X.S.[Xian-Sheng],
Towards Precise Intra-camera Supervised Person Re-Identification,
WACV21(3228-3237)
IEEE DOI
2106
Integrated circuits, Annotations,
Computational modeling, Cameras, Feature extraction
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Lin, Y.,
Ma, A.J.,
Wang, J.,
Infrared-Visible Person Re-Identification Via Cross-Modality Batch
Normalized Identity Embedding And Mutual Learning,
ICIP20(2296-2300)
IEEE DOI
2011
Feature extraction, Task analysis, Cameras, Training, Histograms,
Video surveillance, Lighting, Person Re-identification,
Mutual Learning
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Yuan, Y.,
Chen, W.,
Chen, T.,
Yang, Y.,
Ren, Z.,
Wang, Z.,
Hua, G.,
Calibrated Domain-Invariant Learning for Highly Generalizable Large
Scale Re-Identification,
WACV20(3578-3587)
IEEE DOI
2006
Cameras, Training, Benchmark testing, Feature extraction,
Urban areas, Histograms, Adaptation models
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Wang, Z.X.[Zhi-Xiang],
Wang, Z.[Zheng],
Zheng, Y.Q.[Yin-Qiang],
Chuang, Y.Y.[Yung-Yu],
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Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person
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CVPR19(618-626).
IEEE DOI
2002
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Wang, Y.,
Wang, L.,
You, Y.,
Zou, X.,
Chen, V.,
Li, S.,
Huang, G.,
Hariharan, B.,
Weinberger, K.Q.,
Resource Aware Person Re-identification Across Multiple Resolutions,
CVPR18(8042-8051)
IEEE DOI
1812
Task analysis, Measurement, Image color analysis,
Feature extraction, Cognition, Semantics, Computer architecture
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Zhang, J.,
Wang, N.,
Zhang, L.,
Multi-shot Pedestrian Re-identification via Sequential Decision
Making,
CVPR18(6781-6789)
IEEE DOI
1812
Feature extraction, Task analysis, Measurement, Aggregates, Decision making
BibRef
Qian, X.L.[Xue-Lin],
Fu, Y.W.[Yan-Wei],
Xiang, T.[Tao],
Wang, W.X.[Wen-Xuan],
Qiu, J.[Jie],
Wu, Y.[Yang],
Gang, Y.[Yu],
Xue, X.Y.[Xiang-Yang],
Pose-Normalized Image Generation for Person Re-Identification,
ECCV18(IX: 661-678).
Springer DOI
1810
BibRef
Belmonte-Hernández, A.,
Solachidis, V.,
Theodoridis, T.,
Hernández-Peñaloza, G.,
Conti, G.,
Vretos, N.,
Álvarez, F.,
Daras, P.,
Person tracking association using multi-modal systems,
AVSS17(1-6)
IEEE DOI
1806
calibration, feature extraction, image matching, image sensors,
object tracking, sensors, Kinect skeleton, Kinect v2 device,
Wrist
BibRef
Chen, J.X.[Jia-Xin],
Wang, Y.H.[Yun-Hong],
Qin, J.[Jie],
Liu, L.[Li],
Shao, L.[Ling],
Fast Person Re-identification via Cross-Camera Semantic Binary
Transformation,
CVPR17(5330-5339)
IEEE DOI
1711
Binary codes, Encoding, Optimization, Robustness, Semantics, Transforms
BibRef
Beyer, L.,
Breuers, S.,
Kurin, V.,
Leibe, B.,
Towards a Principled Integration of Multi-camera Re-identification
and Tracking Through Optimal Bayes Filters,
Re-Id17(1444-1453)
IEEE DOI
1709
Cameras, Computational modeling, Current measurement, Data models,
Detectors, Mathematical model, Tracking
BibRef
Narayan, N.,
Sankaran, N.,
Arpit, D.,
Dantu, K.,
Setlur, S.,
Govindaraju, V.,
Person Re-identification for Improved Multi-person Multi-camera
Tracking by Continuous Entity Association,
Biometrics17(566-572)
IEEE DOI
1709
Cameras, Face, Feature extraction, Inference algorithms,
Target tracking, Videos
BibRef
Wu, C.W.,
Zhong, M.T.,
Tsao, Y.,
Yang, S.W.,
Chen, Y.K.,
Chien, S.Y.,
Track-Clustering Error Evaluation for Track-Based Multi-camera
Tracking System Employing Human Re-identification,
Re-Id17(1416-1424)
IEEE DOI
1709
Cameras, Measurement uncertainty, Pipelines,
Target tracking, Time measurement, Trajectory
BibRef
Gou, M.,
Karanam, S.,
Liu, W.,
Camps, O.,
Radke, R.J.,
DukeMTMC4ReID:
A Large-Scale Multi-camera Person Re-identification Dataset,
Re-Id17(1425-1434)
IEEE DOI
1709
Dataset, Re-Identification. Airports, Benchmark testing, Cameras, Detectors, Feature extraction,
Measurement, Surveillance
BibRef
He, W.X.[Wei-Xiong],
Chen, Y.C.,
Lai, J.H.,
Cross-view transformation based sparse reconstruction for person
re-identification,
ICPR16(3410-3415)
IEEE DOI
1705
Cameras, Image reconstruction, Measurement, Optimization, Probes,
Reliability, Testing
BibRef
Xu, Y.,
Liu, X.,
Liu, Y.,
Zhu, S.C.,
Multi-view People Tracking via Hierarchical Trajectory Composition,
CVPR16(4256-4265)
IEEE DOI
1612
BibRef
Wang, J.,
Zhu, X.,
Gong, S.,
Li, W.,
Transferable Joint Attribute-Identity Deep Learning for Unsupervised
Person Re-identification,
CVPR18(2275-2284)
IEEE DOI
1812
Data models, Cameras, Adaptation models, Task analysis, Training, Training data
BibRef
Peng, P.,
Xiang, T.,
Wang, Y.,
Pontil, M.,
Gong, S.,
Huang, T.,
Tian, Y.,
Unsupervised Cross-Dataset Transfer Learning for Person
Re-identification,
CVPR16(1306-1315)
IEEE DOI
1612
BibRef
McLaughlin, N.,
Martinez-del-Rincon, J.[Jesus],
Miller, P.,
Recurrent Convolutional Network for Video-Based Person
Re-identification,
CVPR16(1325-1334)
IEEE DOI
1612
BibRef
Cheng, D.,
Gong, Y.,
Zhou, S.,
Wang, J.,
Zheng, N.,
Person Re-identification by Multi-Channel Parts-Based CNN with
Improved Triplet Loss Function,
CVPR16(1335-1344)
IEEE DOI
1612
BibRef
You, J.,
Wu, A.,
Li, X.,
Zheng, W.S.,
Top-Push Video-Based Person Re-identification,
CVPR16(1345-1353)
IEEE DOI
1612
BibRef
Chakraborty, A.,
Mandal, B.,
Galoogahi, H.K.,
Person re-identification using multiple first-person-views on
wearable devices,
WACV16(1-8)
IEEE DOI
1606
Biomedical monitoring
BibRef
Huang, W.X.[Wen-Xin],
Hu, R.[Ruimin],
Liang, C.[Chao],
Yu, Y.[Yi],
Wang, Z.[Zheng],
Zhong, X.[Xian],
Zhang, C.J.[Chun-Jie],
Camera Network Based Person Re-identification by Leveraging
Spatial-Temporal Constraint and Multiple Cameras Relations,
MMMod16(I: 174-186).
Springer DOI
1601
BibRef
Hosono, T.[Takashi],
Takahashi, T.[Tomokazu],
Deguchi, D.[Daisuke],
Ide, I.[Ichiro],
Murase, H.[Hiroshi],
Aizawa, T.[Tomoyoshi],
Kawade, M.[Masato],
Human Tracking Using a Far-Infrared Sensor Array and a Thermo-Spatial
Sensitive Histogram,
UCCV14(262-274).
Springer DOI
1504
BibRef
Bo, N.B.[Nyan Bo],
van Hese, P.[Peter],
Gruenwedel, S.[Sebastian],
Guan, J.Z.[Jun-Zhi],
Niño-Castañeda, J.[Jorge],
Robust Multi-camera People Tracking Using Maximum Likelihood Estimation,
ACIVS13(584-595).
Springer DOI
1311
BibRef
Yu, S.I.[Shoou-I],
Yang, Y.[Yi],
Hauptmann, A.G.[Alexander G.],
Harry Potter's Marauder's Map: Localizing and Tracking Multiple
Persons-of-Interest by Nonnegative Discretization,
CVPR13(3714-3720)
IEEE DOI
1309
Multi-Camera Tracking; Multi-Object Tracking; Semi-Supervised Learning
BibRef
Hu, T.[Tao],
Mutlu, S.[Sinan],
Lanz, O.[Oswald],
Multicamera People Tracking Using a Locus-based Probabilistic Occupancy
Map,
CIAP13(II:693-702).
Springer DOI
1309
BibRef
Kang, B.D.[Byoung-Doo],
Jeon, K.H.[Kye-Hoon],
Kyoung, D.W.[Dong-Wuk],
Kim, S.H.[Seuing-Hun],
Hwang, J.H.[Jung-Hoon],
Multiple human body tracking using the fusion of CCD and thermal image
sensor,
AIPR11(1-4).
IEEE DOI
1204
BibRef
Havasi, L.[Laszlo],
Szlavik, Z.[Zoltan],
A method for object localization in a multiview multimodal camera
system,
OTCBVS11(96-103).
IEEE DOI
1106
BibRef
Earlier:
A statistical method for object localization in multi-camera tracking,
ICIP10(3925-3928).
IEEE DOI
1009
BibRef
Earlier:
Using location and motion statistics for the localization of moving
objects in multiple camera surveillance videos,
VS09(1275-1281).
IEEE DOI
0910
BibRef
Kwolek, B.[Bogdan],
Multiple views based human motion tracking in surveillance videos,
MultiCamera11(492-497).
IEEE DOI
1111
BibRef
Earlier:
Multi Camera-Based Person Tracking Using Region Covariance and
Homography Constraint,
AVSS10(294-299).
IEEE DOI
1009
BibRef
Arsic, D.[Dejan],
Lyutskanov, A.[Atanas],
Rigoll, G.[Gerhard],
Kwolek, B.[Bogdan],
Multi camera person tracking applying a graph-cuts based foreground
segmentation in a homography framework,
PETS-Winter09(1-8).
IEEE DOI
0912
BibRef
Krahnstoever, N.,
Yu, T.,
Patwardhan, K.A.,
Gao, D.,
Multi-camera person tracking in crowded environments,
PETS-Winter09(1-7).
IEEE DOI
0912
BibRef
Cho, S.H.[Shung Han],
Hong, S.J.[Sang-Jin],
Nam, Y.Y.[Yun-Young],
Association and Identification in Heterogeneous Sensors Environment
with Coverage Uncertainty,
AVSBS09(553-558).
IEEE DOI
0909
BibRef
Fiscus, J.[Jonathan],
Garofolo, J.[John],
Rose, T.[Travis],
Michel, M.[Martial],
AVSS Multiple Camera Person Tracking Challenge Evaluation Overview,
AVSBS09(219-219).
IEEE DOI
0909
BibRef
Monari, E.[Eduardo],
Maerker, J.[Jochen],
Kroschel, K.[Kristian],
A Robust and Efficient Approach for Human Tracking in Multi-camera
Systems,
AVSBS09(134-139).
IEEE DOI
0909
BibRef
Moschini, D.[Davide],
Fusiello, A.[Andrea],
Tracking Human Motion with Multiple Cameras Using an Articulated Model,
MIRAGE09(1-12).
Springer DOI
0905
BibRef
Schauerte, B.,
Plötz, T.,
Fink, G.A.[Gernot A.],
A Multi-modal Attention System for Smart Environments,
CVS09(73-83).
Springer DOI
0910
BibRef
Moller, B.[Birgit],
Plotz, T.[Thomas],
Fink, G.A.[Gernot A.],
Calibration-free camera hand-over for fast and reliable person tracking
in multi-camera setups,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Nicolescu, M.[Mircea],
Commentary Paper 1 on 'Action Signature: A Novel Holistic
Representation for Action Recognition',
AVSBS08(129-129).
IEEE DOI
0809
See also Action Signature: A Novel Holistic Representation for Action Recognition.
BibRef
Brémond, F.[François],
Kaâniche, M.B.[Mohamed Bécha],
Commentary Paper 2 on Action Signature: A Novel Holistic Representation
for Action Recognition,
AVSBS08(130-131).
IEEE DOI
0809
See also Action Signature: A Novel Holistic Representation for Action Recognition.
BibRef
Quinn, M.J.[Michael J.],
Kuo, T.[Thomas],
Manjunath, B.S.,
A lightweight multiview tracked person descriptor for camera sensor
networks,
ICIP08(1976-1979).
IEEE DOI
0810
BibRef
Pham, T.V.,
Worring, M.,
Smeulders, A.W.M.[Arnold W.M.],
A Multi-Camera Visual Surveillance System for Tracking of Reoccurrences
of People,
ICDSC07(164-169).
IEEE DOI
0709
BibRef
Iwaki, H.[Hidekazu],
Srivastava, G.[Gaurav],
Kosaka, A.[Akio],
Park, J.[Johnny],
Kak, A.C.[Avinash C.],
A novel evidence accumulation framework for robust multi-camera person
detection,
ICDSC08(1-10).
IEEE DOI
PDF File.
0809
BibRef
Schreiber, S.[Sascha],
Stormer, A.[Andre],
Rigoll, G.[Gerhard],
Omnidirectional tracking and recognition of persons in planar views,
ICIP08(1476-1479).
IEEE DOI
0810
BibRef
Earlier: A1, A3, Only:
Omni-directional multiperson tracking in meeting scenarios combining
simulated annealing and particle filtering,
FG08(1-6).
IEEE DOI
0809
BibRef
Grest, D.[Daniel],
Koch, R.[Reinhard],
Multi-camera Person Tracking in a Cluttered Interaction Environment,
CAIP05(480).
Springer DOI
0509
BibRef
Khan, S.[Sohaib],
Javed, O.[Omar],
Rasheed, Z.[Zeeshan],
Shah, M.[Mubarak],
Human Tracking in Multiple Cameras,
ICCV01(I: 331-336).
IEEE DOI
0106
BibRef
Krumm, J.,
Harris, S.,
Meyers, B.,
Brumitt, B.L.,
Hale, M.,
Shafer, S.A.,
Multi-Camera Multi-Person Tracking for EasyLiving,
VS00(xx-yy).
0102
BibRef
Marcenaro, L.[Lucio],
Regazzoni, C.S.[Carlo S.],
Vernazza, G.[Gianni],
Automatic Generation of the Statistical Model of a Non-rigid Object in
a Multiple-camera Environment,
ICPR00(Vol I: 530-533).
IEEE DOI
0009
Tracking people.
BibRef
Chang, T.H.,
Gong, S.,
Ong, E.J.,
Tracking Multiple People Under Occlusion Using Multiple Cameras,
BMVC00(xx-yy).
PDF File.
0009
BibRef
Kang, J.M.[Jin-Man],
Gajera, K.[Kalpitkumar],
Cohen, I.[Isaac],
Medioni, G.[Gérard],
Detection and Tracking of Moving Objects from Overlapping EO and IR
Sensors,
OTCBVS04(123).
IEEE DOI
0502
See also Continuous multi-views tracking using tensor voting.
BibRef
Stillman, S.,
Tanawongsuwan, R.,
Essa, I.A.,
System for Tracking and Recognizing Multiple People with Multiple
Cameras,
AVBPA99(xx-yy).
BibRef
9900
Tsutsui, H.,
Miura, J.,
Shirai, Y.,
Optical Flow-based Person Tracking by Multiple Cameras,
MVA98(xx-yy).
BibRef
9800
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking People Across Disjoint Views, Re-Identification .