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ICIP16(774-778)
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1610
BibRef
Earlier: A5, A4, A7, A6, Only:
Sparse representation classification with manifold constraints
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Brightness.
face, digit, action and objects recognition.
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image colour analysis; illumination changes; person reidentification;
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Earlier: A1, A2, A3, Only:
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Earlier: A2, A3, A4, A5, Only:
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Earlier: A2, A3, A4, A5, Only:
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Person re-identification
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ICIP13(3363-3366)
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1402
feature fusion
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A person re-identification algorithm based on color topology,
ICIP14(2447-2451)
IEEE DOI
1502
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1606
Cameras
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1604
image colour analysis
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IP(26), No. 6, June 2017, pp. 2588-2603.
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1705
covariance matrices, feature extraction, image colour analysis,
image matching, Euclidean distance, RGB image,
RGB-based appearance features, Riemannian manifold, color change,
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Jacques, J.C.S.[Julio C.S.],
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Elsevier DOI
1811
BibRef
Earlier:
Exploiting feature Representations Through Similarity Learning and
Ranking Aggregation for Person Re-identification,
FG17(302-309)
IEEE DOI
1707
Person re-identification, Similarity learning, Feature fusion,
Post-ranking, Ranking aggregation.
Data mining, Feature extraction, Image color analysis, Measurement,
Neural networks, Robustness, Visualization
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Video surveillance, Person re-identification,
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1901
BibRef
Earlier:
Kernel Hierarchical PCA for person re-identification,
ICPR16(2091-2096)
IEEE DOI
1705
Person re-identification,
Kernel collaborative representation based classification.
Cameras, Kernel, Principal component analysis,
Probes, Surveillance, Training, data
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Prates, R.C.[Raphael C.],
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Predominant color name indexing structure for person
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ICIP16(779-783)
IEEE DOI
1610
Cameras
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Prates, R.C.[Raphael C.],
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Kernel Partial Least Squares for person re-identification,
AVSS16(249-255)
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1611
Cameras
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Prado, G.L.[Gabriel Lorencetti],
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CIARP13(II:382-390).
Springer DOI
1311
BibRef
Kniaz, V.V.[Vladimir V.],
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ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person
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Springer DOI
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Dai, J.[Ju],
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Elsevier DOI
2005
Person search, Pedestrian detection, Person re-identification,
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Wu, A.C.[An-Cong],
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Springer DOI
2006
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Wu, A.C.[An-Cong],
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RGB-Infrared Cross-Modality Person Re-identification,
ICCV17(5390-5399)
IEEE DOI
1802
cameras, feature extraction, image classification,
image colour analysis, image matching, infrared imaging,
Training
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Li, H.F.[Hua-Feng],
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Elsevier DOI
2006
Person re-identification, Self-supervised strategy,
Domain adaptation, Structure alignment, Self-reconstruction
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Zhang, S.,
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AsNet: Asymmetrical Network for Learning Rich Features in Person
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IEEE DOI
2006
Feature extraction, Training, Task analysis, Convolution, Kernel,
Testing, Standards, Person re-identification, part models,
asymmetrical structure
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Han, H.,
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KISS+ for Rapid and Accurate Pedestrian Re-Identification,
ITS(22), No. 1, January 2021, pp. 394-403.
IEEE DOI
2012
Measurement, Feature extraction, Covariance matrices,
Image color analysis, Training, Eigenvalues and eigenfunctions,
smart transportation
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Ye, H.,
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Bi-Directional Exponential Angular Triplet Loss for RGB-Infrared
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IP(30), 2021, pp. 1583-1595.
IEEE DOI
2101
Feature extraction, Cameras, Measurement, Task analysis, Training,
Surveillance, Image color analysis,
ranking loss
BibRef
Li, J.,
Cheng, D.,
Liu, R.,
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Zhao, K.,
Unsupervised Person Re-Identification Based on Measurement Axis,
SPLetters(28), 2021, pp. 379-383.
IEEE DOI
2103
Feature extraction, Training, Signal processing algorithms,
Memory modules, Loss measurement, Supervised learning, Semantics,
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Liu, X.D.[Xu-Dong],
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Elsevier DOI
2103
Person re-identification, Interactive Information Module,
Global-map Attention Module, Labeled-class Mutual Learning
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Hou, Y.K.[Yan-Ke],
Lian, S.C.[Si-Cheng],
Hu, H.F.[Hai-Feng],
Chen, D.[Dihu],
Part-Relation-Aware Feature Fusion Network for Person
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SPLetters(28), 2021, pp. 743-747.
IEEE DOI
2105
Principal component analysis, Feature extraction, Convolution,
Training, Loss measurement, Cameras,
person re-identification
BibRef
Yang, S.R.[Sheng-Rong],
Liu, W.H.[Wei-Hong],
Yu, Y.B.[Yang-Bin],
Hu, H.F.[Hai-Feng],
Chen, D.[Dihu],
Su, T.[Tao],
Diverse Feature Learning Network With Attention Suppression and Part
Level Background Suppression for Person Re-Identification,
CirSysVideo(33), No. 1, January 2023, pp. 283-297.
IEEE DOI
2301
Feature extraction, Convolution, Representation learning,
Measurement, Network architecture, Information filters,
part level background suppression
BibRef
Yang, F.[Fan],
Yan, K.[Ke],
Lu, S.J.[Shi-Jian],
Jia, H.Z.[Hui-Zhu],
Xie, D.[Don],
Yu, Z.Q.[Zong-Qiao],
Guo, X.W.[Xiao-Wei],
Huang, F.Y.[Fei-Yue],
Gao, W.[Wen],
Part-aware Progressive Unsupervised Domain Adaptation for Person
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MultMed(23), 2021, pp. 1681-1695.
IEEE DOI
2106
Feature extraction, Cameras, Dictionaries, Adaptation models,
Supervised learning, Measurement, Image color analysis,
Progressive adaptation
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Li, C.[Chao],
Yang, X.Y.[Xiao-Yu],
Yin, K.[Kangning],
Chang, Y.F.[Yi-Fan],
Wang, Z.G.[Zhi-Guo],
Yin, G.Q.[Guang-Qiang],
Pedestrian re-identification based on attribute mining and reasoning,
IET-IPR(15), No. 11, 2021, pp. 2399-2411.
DOI Link
2108
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Ning, X.[Xin],
Gong, K.[Ke],
Li, W.J.[Wei-Jun],
Zhang, L.P.[Li-Ping],
Bai, X.[Xiao],
Tian, S.W.[Sheng-Wei],
Feature Refinement and Filter Network for Person Re-Identification,
CirSysVideo(31), No. 9, September 2021, pp. 3391-3402.
IEEE DOI
2109
Feature extraction, Task analysis, Interference, Image recognition,
Training, Robustness, Information filters,
Person Search
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Zhu, Z.Q.[Zhi-Qin],
Luo, Y.Q.[Ya-Qin],
Chen, S.X.[Si-Xin],
Qi, G.Q.[Guan-Qiu],
Mazur, N.[Neal],
Zhong, C.Y.[Cheng-Yan],
Li, Q.W.[Qi-Wang],
Camera style transformation with preserved self-similarity and
domain-dissimilarity in unsupervised person re-identification,
JVCIR(80), 2021, pp. 103303.
Elsevier DOI
2110
Unsupervised domain adaptation, Person re-identification,
Cross-domain, Circle loss, Maximum mean discrepancy
BibRef
Tay, C.P.[Chiat-Pin],
Yap, K.H.[Kim-Hui],
Attribute saliency network for person re-identification,
IVC(115), 2021, pp. 104298.
Elsevier DOI
2110
Person re-identification, Person attribute,
Attention or saliency map, Attribute learning
BibRef
Kong, J.[Jun],
Tao, X.F.[Xue-Feng],
Jiang, M.[Min],
Liu, T.S.[Tian-Shan],
Weakly Supervised Distribution Discrepancy Minimization Learning With
State Information for Person Re-Identification,
MultMed(25), 2023, pp. 1903-1915.
IEEE DOI
2306
Cameras, Target tracking, Task analysis, Training,
Supervised learning, Scalability, Reliability, Weakly supervised,
ranking-confidence-based loss
BibRef
Shi, W.[Wei],
Liu, H.[Hong],
Liu, M.Y.[Meng-Yuan],
Image-to-Video Person Re-Identification Using Three-Dimensional
Semantic Appearance Alignment and Cross-Modal Interactive Learning,
PR(122), 2022, pp. 108314.
Elsevier DOI
2112
Person re-identification, Cross-modal learning, Appearance alignment
BibRef
Shi, Y.X.[Yu-Xuan],
Wei, Z.[Zhen],
Ling, H.[Hefei],
Wang, Z.Y.[Zi-Yang],
Shen, J.L.[Jia-Lie],
Li, P.[Ping],
Person Retrieval in Surveillance Videos Via Deep Attribute Mining and
Reasoning,
MultMed(23), 2021, pp. 4376-4387.
IEEE DOI
2112
Cognition, Feature extraction, Hair, Semantics, Training, Robustness,
Convolution, Person retrieval, person re-identification,
graph convolutional network
BibRef
Li, Y.[Ying],
Guo, Z.X.[Zi-Xuan],
Zhang, H.H.[Heng-Heng],
Li, M.J.[Meng-Jing],
Ji, G.L.[Gen-Lin],
Decoupled Pose and Similarity Based Graph Neural Network for Video
Person Re-Identification,
SPLetters(29), 2022, pp. 264-268.
IEEE DOI
2202
Skeleton, Training, Legged locomotion, Feature extraction,
Task analysis, Semantics, Image segmentation,
pose-aware adjacency graph
BibRef
Qian, J.H.[Jin-Hao],
Xie, X.H.[Xiao-Hua],
Successive Consensus Clustering for Unsupervised Video-Based Person
Re-Identification,
SPLetters(29), 2022, pp. 822-826.
IEEE DOI
2204
Feature extraction, Training, Clustering algorithms, Optimization,
Signal processing algorithms, Neural networks, Memory modules,
contrastive learning
BibRef
Jin, H.Y.[Han-Yang],
Lai, S.[Shenqi],
Qian, X.M.[Xue-Ming],
Occlusion-Sensitive Person Re-Identification via Attribute-Based
Shift Attention,
CirSysVideo(32), No. 4, April 2022, pp. 2170-2185.
IEEE DOI
2204
Feature extraction, Training, Task analysis, Annotations, Tools,
Image segmentation, Security, Person re-ID, weakly supervision,
attention mechanism
BibRef
Gu, X.Q.[Xin-Qian],
Chang, H.[Hong],
Ma, B.P.[Bing-Peng],
Shan, S.G.[Shi-Guang],
Motion Feature Aggregation for Video-Based Person Re-Identification,
IP(31), 2022, pp. 3908-3919.
IEEE DOI
2206
Feature extraction, Optical imaging, Computational modeling,
Spatiotemporal phenomena, Data mining, Training, Tracking,
motion feature extraction
BibRef
Li, X.B.[Xiao-Bao],
Li, Q.Y.[Qing-Yong],
Wang, W.[Wen],
Guo, L.J.[Li-Jun],
An Unsupervised Multi-Shot Person Re-Identification Method via Mutual
Normalized Sparse Representation and Stepwise Learning,
ITS(23), No. 7, July 2022, pp. 7866-7880.
IEEE DOI
2207
BibRef
Earlier: A1, A3, A2, A4:
Unsupervised Multi-shot Person Re-identification via Dynamic
Bi-directional Normalized Sparse Representation,
MMMod21(I:554-566).
Springer DOI
2106
Cameras, Measurement, Estimation, Training, Task analysis, Strips,
Histograms, Person re-identification, unsupervised, sparse representation
BibRef
Li, X.B.[Xiao-Bao],
Li, Q.Y.[Qing-Yong],
Liang, F.J.[Feng-Jiao],
Wang, W.[Wen],
Multi-granularity Pseudo-label Collaboration for unsupervised person
re-identification,
CVIU(227), 2023, pp. 103616.
Elsevier DOI
2301
Unsupervised person re-identification,
Multi-granularity pseudo-label prediction, Mix-up
BibRef
Peng, L.[Lu],
Jidong, Z.[Zhang],
Zhen, Z.[Zhang],
Wei, W.[Wang],
Yamei, D.[Dou],
Person Re-identification Based on Feature Erasure and Diverse Feature
Learning,
IET-CV(16), No. 6, 2022, pp. 504-513.
DOI Link
2208
image recognition, image retrieval, learning (artificial intelligence)
BibRef
Zhang, G.Q.[Guo-Qing],
Luo, Z.Y.[Zhi-Yuan],
Chen, Y.H.[Yu-Hao],
Zheng, Y.H.[Yu-Hui],
Lin, W.S.[Wei-Si],
Illumination Unification for Person Re-Identification,
CirSysVideo(32), No. 10, October 2022, pp. 6766-6777.
IEEE DOI
2210
Lighting, Training, Image restoration, Testing, Task analysis,
Image reconstruction, Person re-identification,
illumination-adaptive
BibRef
Rao, H.C.[Hao-Cong],
Li, Y.[Yuan],
Miao, C.Y.[Chun-Yan],
Revisiting-Reciprocal Distance Re-Ranking for Skeleton-Based Person
Re-Identification,
SPLetters(29), 2022, pp. 2103-2107.
IEEE DOI
2211
Skeleton, Probes, Measurement, Euclidean distance, Aggregates,
Task analysis, Skeleton-based person re-identification,
skeleton sequence pooling
BibRef
Sun, D.[Dengdi],
Huang, J.[Jiale],
Hu, L.[Lei],
Tang, J.[Jin],
Ding, Z.L.[Zhuan-Lian],
Multitask Multigranularity Aggregation With Global-Guided Attention
for Video Person Re-Identification,
CirSysVideo(32), No. 11, November 2022, pp. 7758-7771.
IEEE DOI
2211
Feature extraction, Multitasking, Video sequences, Task analysis,
Data mining, Semantics, Convolutional neural networks, global feature
BibRef
Chai, T.R.[Tian-Rui],
Chen, Z.Y.[Zhi-Yuan],
Li, A.[Annan],
Chen, J.X.[Jia-Xin],
Mei, X.Y.[Xin-Yu],
Wang, Y.H.[Yun-Hong],
Video Person Re-Identification Using Attribute-Enhanced Features,
CirSysVideo(32), No. 11, November 2022, pp. 7951-7966.
IEEE DOI
2211
Image color analysis, Feature extraction, Footwear, Hair,
Visualization, Measurement, Annotations, Video-based person Re-ID,
viewpoint and action-invariant triplet loss
BibRef
Lu, J.X.[Jia-Xuan],
Wan, H.[Hai],
Li, P.[Peiyan],
Zhao, X.B.[Xi-Bin],
Ma, N.[Nan],
Gao, Y.[Yue],
Exploring High-Order Spatio-Temporal Correlations From Skeleton for
Person Re-Identification,
IP(32), 2023, pp. 949-963.
IEEE DOI
2301
Feature extraction, Correlation, Task analysis, Head,
Video sequences, Legged locomotion, Joints, spatio-temporal correlation
BibRef
Khatun, A.[Amena],
Denman, S.[Simon],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
Pose-driven attention-guided image generation for person
re-Identification,
PR(137), 2023, pp. 109246.
Elsevier DOI
2302
Person re-identification, Pose-transfer, Attention mechanism,
Semantic-consistency loss
BibRef
Jin, Z.Q.[Zi-Qi],
Xie, J.[Jinheng],
Wu, B.[Bizhu],
Shen, L.L.[Lin-Lin],
Weakly Supervised Pedestrian Segmentation for Person
Re-Identification,
CirSysVideo(33), No. 3, March 2023, pp. 1349-1362.
IEEE DOI
2303
Image segmentation, Feature extraction, Task analysis, Training,
Semantics, Lips, Legged locomotion, Re-identification,
mask-based augmentation
BibRef
Raj S, S.[Sridhar],
Prasad, M.V.N.K.[Munaga V.N.K.],
Balakrishnan, R.[Ramadoss],
Generative Segment-pose Representation based Augmentation (GSRA) for
unsupervised person re-identification,
IVC(131), 2023, pp. 104632.
Elsevier DOI
2303
Unsupervised person re-identification, Clustering,
Generative adversarial networks, Deep learning, Computer vision
BibRef
Zhang, Y.L.[Yu-Lin],
Ma, B.[Bo],
Li, M.[Meng],
Liu, Y.[Ying],
Chen, F.[Feng],
Hou, J.Y.[Jun-Yu],
Pseudo-label estimation via unsupervised Identity Link Prediction for
one-shot person Re-Identification,
PR(146), 2024, pp. 110060.
Elsevier DOI
2311
One-shot person Re-Identification, Pseudo-label estimation,
Link prediction, Dual-Branch Fusion
BibRef
Wang, Z.[Zhe],
Wang, J.[Jun],
Xing, J.L.[Jun-Liang],
Attribute-guided transformer for robust person re-identification,
IET-CV(17), No. 8, 2023, pp. 977-992.
DOI Link
2312
computer vision, object recognition
BibRef
Pan, H.[Honghu],
Liu, Q.[Qiao],
Chen, Y.Y.[Yong-Yong],
He, Y.Q.[Yun-Qi],
Zheng, Y.[Yuan],
Zheng, F.[Feng],
He, Z.Y.[Zhen-Yu],
Pose-Aided Video-Based Person Re-Identification via Recurrent Graph
Convolutional Network,
CirSysVideo(33), No. 12, December 2023, pp. 7183-7196.
IEEE DOI
2312
BibRef
Lu, A.D.[An-Dong],
Zhang, Z.[Zhang],
Huang, Y.[Yan],
Zhang, Y.F.[Yi-Fan],
Li, C.L.[Cheng-Long],
Tang, J.[Jin],
Wang, L.[Liang],
Illumination Distillation Framework for Nighttime Person
Re-Identification and a New Benchmark,
MultMed(26), 2024, pp. 406-419.
IEEE DOI
2402
Lighting, Feature extraction, Task analysis, Cameras, Visualization,
Robustness, Clothing, Bottleneck fusion, illumination distillation,
person re-identification
BibRef
Liu, Y.X.[Yu-Xuan],
Ge, H.W.[Hong-Wei],
Wang, Z.[Zhen],
Hou, Y.Q.[Ya-Qing],
Zhao, M.D.[Ming-De],
Discriminative Identity-Feature Exploring and Differential Aware
Learning for Unsupervised Person Re-Identification,
MultMed(26), 2024, pp. 623-636.
IEEE DOI
2402
Feature extraction, Noise measurement, Redundancy, Data models,
Robustness, Identity features, contrastive learning
BibRef
Zhao, Q.[Qian],
Yu, W.T.[Wen-Tao],
Ji, T.[Tangyu],
Style Elimination and Information Restitution for generalizable
person re-identification,
JVCIR(98), 2024, pp. 104048.
Elsevier DOI
2402
Domain generalization, Person re-identification,
Instance normalization, Convolutional neural networks
BibRef
Ou, F.Z.[Fu-Zhao],
Chen, X.Y.[Xing-Yu],
Zhao, K.[Kai],
Wang, S.Q.[Shi-Qi],
Wang, Y.G.[Yuan-Gen],
Kwong, S.[Sam],
Refining Uncertain Features With Self-Distillation for Face
Recognition and Person Re-Identification,
MultMed(26), 2024, pp. 6981-6995.
IEEE DOI
2405
Face recognition, Image recognition, Training, Optimization,
Task analysis, Target recognition, Feature extraction,
quality self-distillation
BibRef
Yu, Z.Y.[Zai-Yang],
Li, L.[Lusi],
Xie, J.L.[Jin-Long],
Wang, C.S.[Chang-Shuo],
Li, W.J.[Wei-Jun],
Ning, X.[Xin],
Pedestrian 3D Shape Understanding for Person Re-Identification via
Multi-View Learning,
CirSysVideo(34), No. 7, July 2024, pp. 5589-5602.
IEEE DOI Code:
WWW Link.
2407
Three-dimensional displays, Pedestrians, Task analysis,
Point cloud compression, Shape, Feature extraction, Solid modeling,
person re-identification
BibRef
Bai, S.T.[Shu-Tao],
Chang, H.[Hong],
Ma, B.P.[Bing-Peng],
Incorporating texture and silhouette for video-based person
re-identification,
PR(156), 2024, pp. 110759.
Elsevier DOI Code:
WWW Link.
2408
Video-based person re-identification, Silhouette,
Relational modeling, Decomposition
BibRef
Dai, Z.Z.[Zuo-Zhuo],
Wang, G.Y.[Guang-Yuan],
Yuan, W.H.[Wei-Hao],
Zhu, S.[Siyu],
Tan, P.[Ping],
Cluster Contrast for Unsupervised Person Re-identification,
ACCV22(VI:319-337).
Springer DOI
2307
BibRef
Kim, M.J.[Min-Jung],
Cho, M.A.[Myeong-Ah],
Lee, S.Y.[Sang-Youn],
Feature Disentanglement Learning with Switching and Aggregation for
Video-based Person Re-Identification,
WACV23(1603-1612)
IEEE DOI
2302
Location awareness, Visualization, Switches, Benchmark testing,
Feature extraction, Cameras, visual reasoning)
BibRef
Rajasegaran, J.[Jathushan],
Pavlakos, G.[Georgios],
Kanazawa, A.[Angjoo],
Malik, J.[Jitendra],
Tracking People by Predicting 3D Appearance, Location and Pose,
CVPR22(2730-2739)
IEEE DOI
2210
Solid modeling, Codes, Computational modeling, Predictive models,
Benchmark testing, Pose estimation and tracking, 3D from single images
BibRef
Wang, Y.N.[Ya-Nan],
Liang, X.Z.[Xue-Zhi],
Liao, S.C.[Sheng-Cai],
Cloning Outfits from Real-World Images to 3D Characters for
Generalizable Person Re-Identification,
CVPR22(4890-4899)
IEEE DOI
2210
Visualization, Image segmentation, Computational modeling,
Soft sensors, Sociology, Cloning, Recognition: detection,
Image and video synthesis and generation
BibRef
Xiang, S.C.[Sun-Cheng],
You, G.J.[Guan-Jie],
Li, L.[Leqi],
Guan, M.Y.[Meng-Yuan],
Liu, T.[Ting],
Qian, D.[Dahong],
Fu, Y.Z.[Yu-Zhuo],
Rethinking Illumination for Person Re-Identification: A Unified View,
VDU22(4730-4738)
IEEE DOI
2210
Training, Visualization, Annotations, Smart cities, Pose estimation,
Lighting, Video surveillance
BibRef
Gong, Y.P.[Yun-Peng],
Huang, L.Q.[Li-Qing],
Chen, L.F.[Li-Fei],
Person Re-identification Method Based on Color Attack and Joint
Defence,
HCIS22(4312-4321)
IEEE DOI
2210
Training, Measurement, Image color analysis, Fuses,
Computational modeling, Robustness
BibRef
Nguyen, V.D.[Vuong D.],
Khaldi, K.[Khadija],
Nguyen, D.[Dung],
Mantini, P.[Pranav],
Shah, S.K.[Shishir K.],
Contrastive Viewpoint-aware Shape Learning for Long-term Person
Re-Identification,
WACV24(1030-1038)
IEEE DOI
2404
Adaptation models, Shape, Biometrics (access control), Clothing,
Self-supervised learning, Benchmark testing, Algorithms,
body pose
BibRef
Khaldi, K.[Khadija],
Mantini, P.[Pranav],
Shah, S.K.[Shishir K.],
Unsupervised Person Re-identification Based on Skeleton Joints Using
Graph Convolutional Networks,
CIAP22(III:135-146).
Springer DOI
2205
BibRef
Ren, M.[Min],
He, L.X.[Ling-Xiao],
Liao, X.Y.[Xing-Yu],
Liu, W.[Wu],
Wang, Y.L.[Yun-Long],
Tan, T.N.[Tie-Niu],
Learning Instance-level Spatial-Temporal Patterns for Person
Re-identification,
ICCV21(14910-14919)
IEEE DOI
2203
Representation learning, Measurement, Legged locomotion,
Visualization, Matched filters, Fuses, Biometrics,
Recognition and classification
BibRef
Chen, H.[Hao],
Lagadec, B.[Benoit],
Bremond, F.[François],
ICE: Inter-Instance Contrastive Encoding for Unsupervised Person
Re-identification,
ICCV21(14940-14949)
IEEE DOI
2203
Representation learning, Visualization, Codes, Annotations,
Perturbation methods, Encoding, Biometrics,
BibRef
Zhao, S.Z.[Shi-Zhen],
Gao, C.X.[Chang-Xin],
Shao, Y.J.[Yuan-Jie],
Zheng, W.S.[Wei-Shi],
Sang, N.[Nong],
Weakly Supervised Text-based Person Re-Identification,
ICCV21(11375-11384)
IEEE DOI
2203
Training, Visualization, Codes, Annotations, Computational modeling,
Clustering methods, Image and video retrieval, Vision+language
BibRef
Jia, J.[Jian],
Chen, X.T.[Xiao-Tang],
Huang, K.Q.[Kai-Qi],
Spatial and Semantic Consistency Regularizations for Pedestrian
Attribute Recognition,
ICCV21(942-951)
IEEE DOI
2203
Head, Surveillance, Aggregates, Semantics, Benchmark testing,
Feature extraction, Recognition and classification,
Scene analysis and understanding
BibRef
Blythman, R.[Richard],
Zunino, A.[Andrea],
Murray, C.[Christopher],
Murino, V.[Vittorio],
On the Importance of Appearance and Interaction Feature
Representations for Person Re-identification,
RWSurvil22(439-448)
IEEE DOI
2202
Visualization, Head, Computational modeling, Atmospheric modeling,
Conferences, Semantics, Computer architecture
BibRef
Lin, C.S.[Ci-Siang],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person
Re-Identification,
ICIP21(2299-2303)
IEEE DOI
2201
Deep learning, Image matching, Image processing, Benchmark testing,
Distortion, Cameras, Person re-identification, visual attention, deep learning
BibRef
Sun, J.S.[Jiang-Shan],
Zhang, T.P.[Tai-Ping],
RGB-Infrared Person Re-Identification Via Multi-Modality Relation
Aggregation and Graph Convolution Network,
ICIP21(1174-1178)
IEEE DOI
2201
Convolution, Image processing, Task analysis,
Person Re-identification, RGB-Infrared, Relation Network,
Graph Convolution Network
BibRef
Nguyen, B.X.[Binh X.],
Nguyen, B.D.[Binh D.],
Do, T.[Tuong],
Tjiputra, E.[Erman],
Tran, Q.D.[Quang D.],
Nguyen, A.[Anh],
Graph-based Person Signature for Person Re-Identifications,
CLVision21(3487-3496)
IEEE DOI
2109
Visualization, Correlation, Aggregates,
Benchmark testing, Cameras
BibRef
Moskvyak, O.[Olga],
Maire, F.[Frederic],
Dayoub, F.[Feras],
Baktashmotlagh, M.[Mahsa],
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification,
WACV21(676-685)
IEEE DOI
2106
Person, vehicle, or animal re-identification.
Features that are invariant to Pose.
Legged locomotion, Heating systems, Visualization, Shape,
Image retrieval, Pose estimation, Pipelines
BibRef
Zhang, C.[Can],
Liu, H.[Hong],
Guo, W.[Wei],
Ye, M.[Mang],
Multi-Scale Cascading Network with Compact Feature Learning for
RGB-Infrared Person Re-Identification,
ICPR21(8679-8686)
IEEE DOI
2105
Training, Correlation, Surveillance, Semantics, Network architecture,
Cameras, Pattern recognition
BibRef
Liu, H.[Hong],
Miao, Z.[Ziling],
Yang, B.[Bing],
Ding, R.[Runwei],
A Base-Derivative Framework for Cross-Modality RGB-Infrared Person
Re-Identification,
ICPR21(7640-7646)
IEEE DOI
2105
Generators, Pattern recognition
BibRef
Dietlmeier, J.[Julia],
Antony, J.[Joseph],
McGuinness, K.[Kevin],
O'Connor, N.E.[Noel E.],
How important are faces for person re-identification?,
ICPR21(6912-6919)
IEEE DOI
2105
Training, Measurement, Computational modeling,
Atmospheric modeling, Face recognition, Data protection,
Anonymization
BibRef
Dai, H.P.[Huang-Peng],
Xie, Q.[Qing],
Ma, Y.C.[Yan-Chun],
Liu, Y.J.[Yong-Jian],
Xiong, S.W.[Sheng-Wu],
RGB-Infrared Person Re-identification via Image Modality Conversion,
ICPR21(592-598)
IEEE DOI
2105
Training, Smoothing methods, Image recognition,
Distributed databases, Color, Video surveillance, Data models
BibRef
Zhu, K.[Kuan],
Guo, H.Y.[Hai-Yun],
Liu, Z.W.[Zhi-Wei],
Tang, M.[Ming],
Wang, J.Q.[Jin-Qiao],
Identity-guided Human Semantic Parsing for Person Re-identification,
ECCV20(III:346-363).
Springer DOI
2012
BibRef
Chen, G.Y.[Guang-Yi],
Rao, Y.M.[Yong-Ming],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Temporal Coherence or Temporal Motion: Which Is More Critical for
Video-based Person Re-identification?,
ECCV20(VIII:660-676).
Springer DOI
2011
BibRef
Gu, X.Q.[Xin-Qian],
Chang, H.[Hong],
Ma, B.P.[Bing-Peng],
Zhang, H.K.[Hong-Kai],
Chen, X.L.[Xi-Lin],
Appearance-preserving 3d Convolution for Video-based Person
Re-identification,
ECCV20(II:228-243).
Springer DOI
2011
BibRef
Zhang, Z.,
Lan, C.,
Zeng, W.,
Chen, Z.,
Multi-Granularity Reference-Aided Attentive Feature Aggregation for
Video-Based Person Re-Identification,
CVPR20(10404-10413)
IEEE DOI
2008
Feature extraction, Aggregates, Semantics, Redundancy,
Computational modeling, Robustness, Video sequences
BibRef
Liu, C.,
Chang, X.,
Shen, Y.,
Unity Style Transfer for Person Re-Identification,
CVPR20(6886-6895)
IEEE DOI
2008
Cameras, Training, Task analysis, Adaptation models,
Computational modeling, Robustness
BibRef
Jin, X.,
Lan, C.,
Zeng, W.,
Chen, Z.,
Zhang, L.,
Style Normalization and Restitution for Generalizable Person
Re-Identification,
CVPR20(3140-3149)
IEEE DOI
2008
Signal to noise ratio, Adaptation models, Lighting, Data models,
Training, Cameras, Task analysis
BibRef
Zhong, Z.,
Zheng, L.,
Zheng, Z.,
Li, S.,
Yang, Y.,
Camera Style Adaptation for Person Re-identification,
CVPR18(5157-5166)
IEEE DOI
1812
Cameras, Training, Task analysis, Image generation, Image color analysis
BibRef
Wang, Y.,
Chen, Z.,
Wu, F.,
Wang, G.,
Person Re-identification with Cascaded Pairwise Convolutions,
CVPR18(1470-1478)
IEEE DOI
1812
Pattern matching, Feature extraction, Image color analysis,
Cameras, Training, Lighting, Kernel
BibRef
Guerra, R.L.[Reynolds León],
Reyes, E.B.G.[Edel B. García],
Mata, F.J.S.[Francisco J. Silva],
Full-Quaternion Color Correction in Images for Person Re-identification,
CIARP17(339-346).
Springer DOI
1802
BibRef
Gou, M.,
Camps, O.I.[Octavia I.],
Sznaier, M.[Mario],
moM: Mean of Moments Feature for Person Re-identification,
Manifold17(1294-1303)
IEEE DOI
1802
Color, Histograms, Image color analysis, Manifolds, Measurement,
Method of moments, Strips
BibRef
Liao, W.,
Yang, M.Y.,
Zhan, N.,
Rosenhahn, B.,
Triplet-Based Deep Similarity Learning for Person Re-Identification,
MSF17(385-393)
IEEE DOI
1802
Benchmark testing, Computational modeling,
Feature extraction, Machine learning, Training
BibRef
Watson, G.[Gregory],
Bhalerao, A.[Abhir],
Person Re-Identification Using Partial Least Squares Appearance
Modelling,
CIAP17(II:25-36).
Springer DOI
1711
BibRef
Bekele, E.[Esube],
Narber, C.[Cody],
Lawson, W.[Wallace],
Multi-attribute Residual Network (MAResNet) for Soft-Biometrics
Recognition in Surveillance Scenarios,
FG17(386-393)
IEEE DOI
1707
Convolution, Feature extraction, Image color analysis, Lighting,
Support vector machines, Surveillance, Training data
BibRef
Mirmahboub, B.[Behzad],
Mekhalfi, M.L.,
Murino, V.[Vittorio],
Distance Penalization and Fusion for Person Re-identification,
WACV17(1306-1314)
IEEE DOI
1609
Dictionaries, Feature extraction, Histograms, Image color analysis,
Measurement, Probes, Training
BibRef
Bhuiyan, A.[Amran],
Perina, A.[Alessandro],
Murino, V.[Vittorio],
Exploiting multiple detections to learn robust brightness transfer
functions in re-identification systems,
ICIP15(2329-2333)
IEEE DOI
1512
Brightness Transfer Function; Re-identification; Video surveillance
BibRef
Bhuiyan, A.[Amran],
Mirmahboub, B.[Behzad],
Perina, A.[Alessandro],
Murino, V.[Vittorio],
Person Re-identification Using Robust Brightness Transfer Functions
Based on Multiple Detections,
CIAP15(II:449-459).
Springer DOI
1511
BibRef
Li, S.M.[Shao-Mei],
Gao, C.[Chao],
Yu, H.T.[Hong-Tao],
Zhang, J.P.[Jian-Peng],
Person re-identification via person DPM based partition,
ICPR16(3856-3861)
IEEE DOI
1705
Feature extraction, Head, Image color analysis, Machine learning,
Measurement, Surveillance, Videos, Deep learning feature,
Deformable Part Model, Part matching, Person, re-identification
BibRef
Matsukawa, T.,
Suzuki, E.,
Person re-identification using CNN features learned from combination
of attributes,
ICPR16(2428-2433)
IEEE DOI
1705
Feature extraction, Image color analysis, Image recognition,
Machine learning, Measurement, Training, Training, data
BibRef
Ksibi, S.,
Mejdoub, M.,
Amar, C.B.,
Topological weighted fisher vectors for person re-identification,
ICPR16(3097-3102)
IEEE DOI
1705
Encoding, Histograms, Image coding, Image color analysis, Lighting,
Transforms, Visualization, Background Suppression, Fisher Vector,
Person Re-identification, Retinex, Spatial, Pyramid
BibRef
Yang, Y.[Yang],
Yang, Y.H.[Yu-Hong],
Ye, M.[Mang],
Huang, W.X.[Wen-Xin],
Wang, Z.[Zheng],
Liang, C.[Chao],
Yao, L.[Lei],
Zhang, C.J.[Chun-Jie],
Spatial Constrained Fine-Grained Color Name for Person
Re-identification,
MMMod16(I: 886-897).
Springer DOI
1601
BibRef
Liu, X.K.[Xiao-Kai],
Wang, H.Y.[Hong-Yu],
Wu, Y.[Yi],
Yang, J.[Jimei],
Yang, M.H.[Ming-Hsuan],
An Ensemble Color Model for Human Re-identification,
WACV15(868-875)
IEEE DOI
1503
Electronic countermeasures
BibRef
Monari, E.[Eduardo],
Color Constancy Using Shadow-Based Illumination Maps for
Appearance-Based Person Re-identification,
AVSS12(197-202).
IEEE DOI
1211
BibRef
Yang, Y.[Yang],
Liao, S.C.[Sheng-Cai],
Lei, Z.[Zhen],
Yi, D.[Dong],
Li, S.Z.[Stan Z.],
Color Models and Weighted Covariance Estimation for Person
Re-identification,
ICPR14(1874-1879)
IEEE DOI
1412
Cameras
BibRef
Yang, Y.[Yang],
Yang, J.[Jimei],
Yan, J.J.[Jun-Jie],
Liao, S.C.[Sheng-Cai],
Yi, D.[Dong],
Li, S.Z.[Stan Z.],
Salient Color Names for Person Re-identification,
ECCV14(I: 536-551).
Springer DOI
1408
BibRef
Romero, A.[Andrés],
Gouiffés, M.[Michéle],
Lacassagne, L.[Lionel],
Covariance Descriptor Multiple Object Tracking and Re-identification
with Colorspace Evaluation,
DTCE12(II:400-411).
Springer DOI
1304
BibRef
Kuo, C.H.[Cheng-Hao],
Khamis, S.,
Shet, V.D.,
Person re-identification using semantic color names and RankBoost,
WACV13(281-287).
IEEE DOI
1303
BibRef
Du, Y.N.[Yu-Ning],
Ai, H.Z.[Hai-Zhou],
Lao, S.H.[Shi-Hong],
Evaluation of color spaces for person re-identification,
ICPR12(1371-1374).
WWW Link.
1302
BibRef
Hong, C.Q.[Chao-Qun],
Li, N.[Na],
Song, M.L.[Ming-Li],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
A Level-set Based Tracking Approach for Surveillance Video with Fusion
and Occlusion,
PSIVT10(156-161).
IEEE DOI
1011
BibRef
Wu, Z.P.[Zheng-Ping],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
Detection and location of people in video streams by fusion of color,
edge and motion information,
ICIP02(III: 449-452).
IEEE DOI
0210
BibRef
Hu, L.[Lei],
Jiang, S.Q.[Shu-Qiang],
Huang, Q.M.[Qing-Ming],
Gao, W.[Wen],
People re-detection using Adaboost with sift and color correlogram,
ICIP08(1348-1351).
IEEE DOI
0810
BibRef
Wildermann, S.[Stefan],
Teich, J.[Jürgen],
3D Person Tracking with a Color-Based Particle Filter,
RobVis08(327-340).
Springer DOI
0802
BibRef
Iocchi, L.,
Bolles, R.C.,
Integrating Plan-View Tracking and Color-Based Person Models for
Multiple People Tracking,
ICIP05(III: 872-875).
IEEE DOI
0512
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Re-Identification, Cloth-Changing, Clothes Changing .