16.7.4.4.4 Tracking People, Re-Identification Issues, Learning

Chapter Contents (Back)
Motion, Human. Tracking. Learning. Re-Identification.

Nappi, M.[Michele], Wechsler, H.[Harry],
Robust re-identification using randomness and statistical learning: Quo vadis,
PRL(33), No. 14, 15 October 2012, pp. 1820-1827.
Elsevier DOI 1209
Biometrics; Evidence-based management; Face recognition; Identity management; Re-identification; Statistical learning theory BibRef

Tao, D.P.[Da-Peng], Jin, L.W.[Lian-Wen], Wang, Y.F.[Yong-Fei], Yuan, Y.[Yuan], Li, X.L.[Xue-Long],
Person Re-Identification by Regularized Smoothing KISS Metric Learning,
CirSysVideo(23), No. 10, 2013, pp. 1675-1685.
IEEE DOI 1311
covariance matrices BibRef

Tao, D.P.[Da-Peng], Jin, L.W.[Lian-Wen], Wang, Y.F.[Yong-Fei], Li, X.L.[Xue-Long],
Person Reidentification by Minimum Classification Error-Based KISS Metric Learning,
Cyber(45), No. 2, February 2015, pp. 242-252.
IEEE DOI 1502
image classification BibRef

Liu, K.[Kai], Zhao, Z.C.[Zhi-Cheng], Cai, A.[Anni],
Datum-Adaptive Local Metric Learning for Person Re-identification,
SPLetters(22), No. 9, September 2015, pp. 1457-1461.
IEEE DOI 1503
BibRef
Earlier:
Parametric Local Multi-modal Metric Learning for Person Re-identification,
ICPR14(2578-2583)
IEEE DOI 1412
Approximation methods BibRef

Serra, G.[Giuseppe], Grana, C.[Costantino], Manfredi, M.[Marco], Cucchiara, R.[Rita],
GOLD: Gaussians of Local Descriptors for image representation,
CVIU(134), No. 1, 2015, pp. 22-32.
Elsevier DOI 1504
Image classification BibRef

Manfredi, M.[Marco], Grana, C.[Costantino], Cucchiara, R.[Rita], Smeulders, A.W.M.[Arnold W.M.],
Segmentation models diversity for object proposals,
CVIU(158), No. 1, 2017, pp. 40-48.
Elsevier DOI 1704
BibRef
Earlier: A1, A2, A3, Only:
Learning superpixel relations for supervised image segmentation,
ICIP14(4437-4441)
IEEE DOI 1502
BibRef
Earlier: A1, A2, A3, Only:
Learning Graph Cut Energy Functions for Image Segmentation,
ICPR14(960-965)
IEEE DOI 1412
BibRef
And: A1, A2, A3, Only:
Automatic Single-Image People Segmentation and Removal for Cultural Heritage Imaging,
MM4CH13(188-197).
Springer DOI 1309
Segmentation. Accuracy. Feature extraction See also complete system for garment segmentation and color classification, A. BibRef

Coppi, D.[Dalia], Calderara, S.[Simone], Cucchiara, R.[Rita],
Active query process for digital video surveillance forensic applications,
SIViP(9), No. 4, May 2015, pp. 749-759.
WWW Link. 1504
BibRef

Coppi, D.[Dalia], Calderara, S.[Simone], Cucchiara, R.[Rita],
Transductive People Tracking in Unconstrained Surveillance,
CirSysVideo(26), No. 4, April 2016, pp. 762-775.
IEEE DOI 1604
BibRef
Earlier:
Appearance tracking by transduction in surveillance scenarios,
AVSBS11(142-147).
IEEE DOI 1111
BibRef
And:
People appearance tracing in video by spectral graph transduction,
ARTEMIS11(920-927).
IEEE DOI 1201
covariance matrices. BibRef

Ding, S.Y.[Sheng-Yong], Lin, L.[Liang], Wang, G.R.[Guang-Run], Chao, H.Y.[Hong-Yang],
Deep feature learning with relative distance comparison for person re-identification,
PR(48), No. 10, 2015, pp. 2993-3003.
Elsevier DOI 1507
Person re-identification BibRef

Chen, J.[Jiaxin], Zhang, Z.X.[Zhao-Xiang], Wang, Y.H.[Yun-Hong],
Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities,
IP(24), No. 12, December 2015, pp. 4741-4755.
IEEE DOI 1512
BibRef
And: Corrections: IP(25), No. 1, January 2016, pp. 494-494.
IEEE DOI 1601
BibRef
Earlier:
Relevance Metric Learning for Person Re-identification by Exploiting Global Similarities,
ICPR14(1657-1662)
IEEE DOI 1412
learning (artificial intelligence). Cameras BibRef

Liong, V.E.[Venice Erin], Lu, J.W.[Ji-Wen], Ge, Y.X.[Yong-Xin],
Regularized local metric learning for person re-identification,
PRL(68, Part 2), No. 1, 2015, pp. 288-296.
Elsevier DOI 1512
BibRef
Earlier:
Regularized Bayesian Metric Learning for Person Re-identification,
Re-Id14(209-224).
Springer DOI 1504
Person re-identification BibRef

Zhang, D.Y.[Dong-Yu], Liu, P.J.[Peng-Ju], Zhang, K.[Kai], Zhang, H.Z.[Hong-Zhi], Wang, Q.[Qing], Jing, X.Y.[Xiao-Yuan],
Class Relatedness Oriented-Discriminative Dictionary Learning for Multiclass Image Classification,
PR(59), No. 1, 2016, pp. 168-175.
Elsevier DOI 1609
Dictionary learning See also Learning Robust and Discriminative Low-Rank Representations for Face Recognition with Occlusion. BibRef

Jing, X.Y.[Xiao-Yuan], Zhu, X.[Xiaoke], Wu, F.[Fei], Hu, R.M.[Rui-Min], You, X.[Xinge], Wang, Y., Feng, H., Yang, J.Y.,
Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning,
IP(26), No. 3, March 2017, pp. 1363-1378.
IEEE DOI 1703
Cameras See also Learning Robust and Discriminative Low-Rank Representations for Face Recognition with Occlusion. BibRef

Jing, X.Y.[Xiao-Yuan], Zhu, X.[Xiaoke], Wu, F.[Fei], You, X.[Xinge], Liu, Q.L.[Qing-Long], Yue, D.[Dong], Hu, R.M.[Rui-Min], Xu, B.[Baowen],
Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning,
CVPR15(695-704)
IEEE DOI 1510
BibRef

Martinel, N., Micheloni, C., Foresti, G.L.,
Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,
IP(24), No. 12, December 2015, pp. 5645-5658.
IEEE DOI 1512
cameras BibRef

Martinel, N., Foresti, G.L., Micheloni, C.,
Distributed and Unsupervised Cost-Driven Person Re-Identification,
ICPR16(1225-1230)
IEEE DOI 1705
Cameras, Correlation, Feature extraction, Measurement, Network topology, Probes, Routing BibRef

Wang, J.[Jin], Sang, N.[Nong], Wang, Z.[Zheng], Gao, C.X.[Chang-Xin],
Similarity Learning with Top-heavy Ranking Loss for Person Re-identification,
SPLetters(23), No. 1, January 2016, pp. 84-88.
IEEE DOI 1601
image matching BibRef

Wang, J.[Jin], Wang, Z.[Zheng], Gao, C.X.[Chang-Xin], Sang, N.[Nong], Huang, R.,
DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification,
CirSysVideo(27), No. 3, March 2017, pp. 513-524.
IEEE DOI 1703
Computer architecture BibRef

Wang, J.[Jin], Wang, Z.[Zheng], Liang, C.[Chao], Gao, C.X.[Chang-Xin], Sang, N.[Nong],
Equidistance constrained metric learning for person re-identification,
PR(74), No. 1, 2018, pp. 38-51.
Elsevier DOI 1711
Person, re-identification BibRef

Wang, J.[Jin], Zhu, J.K.[Jun-Kang], Wang, Z.[Zheng], Gao, C.X.[Chang-Xin], Sang, N.[Nong], Huang, R.[Rui],
Contextual Similarity Regularized Metric Learning for person re-identification,
ICPR16(2048-2053)
IEEE DOI 1705
Cameras, Context, Matrix decomposition, Measurement, Probes, Robustness, Visualization BibRef

Gao, C.X.[Chang-Xin], Wang, J., Liu, L., Yu, J.G., Sang, N.[Nong],
Temporally aligned pooling representation for video-based person re-identification,
ICIP16(4284-4288)
IEEE DOI 1610
Cameras BibRef

Chen, S.Z., Guo, C.C., Lai, J.H.,
Deep Ranking for Person Re-Identification via Joint Representation Learning,
IP(25), No. 5, May 2016, pp. 2353-2367.
IEEE DOI 1604
Algorithm design and analysis BibRef

Tao, D., Guo, Y., Song, M., Li, Y., Yu, Z., Tang, Y.Y.,
Person Re-Identification by Dual-Regularized KISS Metric Learning,
IP(25), No. 6, June 2016, pp. 2726-2738.
IEEE DOI 1605
Covariance matrices BibRef

Chen, J., Wang, Y., Tang, Y.Y.,
Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning,
SPLetters(23), No. 7, July 2016, pp. 998-1002.
IEEE DOI 1608
feature extraction BibRef

Li, W.[Wei], Wu, Y.[Yang], Li, J.Q.[Jian-Qing],
Re-identification by neighborhood structure metric learning,
PR(61), No. 1, 2017, pp. 327-338.
Elsevier DOI 1705
Re-identification BibRef

Franco, A.[Alexandre], Oliveira, L.[Luciano],
Convolutional covariance features: Conception, integration and performance in person re-identification,
PR(61), No. 1, 2017, pp. 593-609.
Elsevier DOI 1705
BibRef
Earlier:
A coarse-to-fine deep learning for person re-identification,
WACV16(1-7)
IEEE DOI 1606
Person re-identification. Face BibRef

McLaughlin, N., del Rincon, J.M.[J. Martinez], Miller, P.C.,
Person Reidentification Using Deep Convnets With Multitask Learning,
CirSysVideo(27), No. 3, March 2017, pp. 525-539.
IEEE DOI 1703
BibRef
Earlier:
Data-augmentation for reducing dataset bias in person re-identification,
AVSS15(1-6)
IEEE DOI 1511
image processing BibRef

Su, C.[Chi], Yang, F.[Fan], Zhang, S.L.[Shi-Liang], Tian, Q.[Qi], Davis, L.S.[Larry S.], Gao, W.[Wen],
Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification,
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

Yang, F.[Fan], Yan, K.[Ke], Lu, S.J.[Shi-Jian], Jia, H.Z.[Hui-Zhu], Xie, X.D.[Xiao-Dong], Gao, W.[Wen],
Attention driven person re-identification,
PR(86), 2019, pp. 143-155.
Elsevier DOI 1811
Person re-identification, Visual attention, Pose estimation, Deep neural networks BibRef

Su, C.[Chi], Zhang, S.L.[Shi-Liang], Yang, F.[Fan], Zhang, G.X.[Guang-Xiao], Tian, Q.[Qi], Gao, W.[Wen], Davis, L.S.[Larry S.],
Attributes driven tracklet-to-tracklet person re-identification using latent prototypes space mapping,
PR(66), No. 1, 2017, pp. 4-15.
Elsevier DOI 1704
Tracklet-to-tracklet. Cameras BibRef

Su, C.[Chi], Zhang, S.L.[Shi-Liang], Xing, J.L.[Jun-Liang], Gao, W.[Wen], Tian, Q.[Qi],
Multi-type attributes driven multi-camera person re-identification,
PR(75), No. 1, 2018, pp. 77-89.
Elsevier DOI 1712
BibRef
Earlier:
Deep Attributes Driven Multi-camera Person Re-identification,
ECCV16(II: 475-491).
Springer DOI 1611
Deep attributes BibRef

Su, C.[Chi], Li, J., Zhang, S.L.[Shi-Liang], Xing, J.L.[Jun-Liang], Gao, W.[Wen], Tian, Q.[Qi],
Pose-Driven Deep Convolutional Model for Person Re-identification,
ICCV17(3980-3989)
IEEE DOI 1802
feature extraction, image matching, image representation, learning (artificial intelligence), pose estimation, Robustness BibRef

Khamis, S.[Sameh], Kuo, C.H.[Cheng-Hao], Singh, V.K.[Vivek K.], Shet, V.D.[Vinay D.], Davis, L.S.[Larry S.],
Joint Learning for Attribute-Consistent Person Re-Identification,
Re-Id14(134-146).
Springer DOI 1504
BibRef

Liu, X.K.[Xiao-Kai], Wang, H.Y.[Hong-Yu], Wang, J.[Jie], Ma, X.R.[Xiao-Rui],
Person re-identification by multiple instance metric learning with impostor rejection,
PR(67), No. 1, 2017, pp. 287-298.
Elsevier DOI 1704
Person re-identification BibRef

Liu, X.K.[Xiao-Kai], Ma, X.R.[Xiao-Rui], Wang, J.[Jie], Wang, H.Y.[Hong-Yu],
M3L: Multi-modality mining for metric learning in person re-Identification,
PR(76), No. 1, 2018, pp. 650-661.
Elsevier DOI 1801
Person re-identification BibRef

Lin, W.Y.[Wei-Yao], Shen, Y.[Yang], Yan, J.C.[Jun-Chi], Xu, M.L.[Ming-Liang], Wu, J.X.[Jian-Xin], Wang, J.D.[Jing-Dong], Lu, K.[Ke],
Learning Correspondence Structures for Person Re-Identification,
IP(26), No. 5, May 2017, pp. 2438-2453.
IEEE DOI 1704
BibRef
Earlier: A2, A1, A3, A5, A5, A6, Only:
Person Re-Identification with Correspondence Structure Learning,
ICCV15(3200-3208)
IEEE DOI 1602
Cameras BibRef

Zheng, L.[Liang], Shen, L.Y.[Li-Yue], Tian, L.[Lu], Wang, S.J.[Sheng-Jin], Wang, J.D.[Jing-Dong], Tian, Q.[Qi],
Scalable Person Re-identification: A Benchmark,
ICCV15(1116-1124)
IEEE DOI 1602
Benchmark testing BibRef

Zhao, R.[Rui], Ouyang, W.L.[Wan-Li], Wang, X.G.[Xiao-Gang],
Person Re-Identification by Saliency Learning,
PAMI(39), No. 2, February 2017, pp. 356-370.
IEEE DOI 1702
BibRef
Earlier:
Learning Mid-level Filters for Person Re-identification,
CVPR14(144-151)
IEEE DOI 1409
BibRef
Earlier:
Person Re-identification by Salience Matching,
ICCV13(2528-2535)
IEEE DOI 1403
BibRef
Earlier:
Unsupervised Salience Learning for Person Re-identification,
CVPR13(3586-3593)
IEEE DOI 1309
Mid-level filter; person re-identification. Salience matching; person re-identification; recognition BibRef

Chen, D.P.[Da-Peng], Yuan, Z.J.[Ze-Jian], Wang, J.D.[Jing-Dong], Chen, B.D.[Ba-Dong], Hua, G.[Gang], Zheng, N.N.[Nan-Ning],
Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification,
IJCV(123), No. 3, July 2017, pp. 392-414.
Springer DOI 1706
BibRef
Earlier: A1, A2, A4, A6, Only:
Similarity Learning with Spatial Constraints for Person Re-identification,
CVPR16(1268-1277)
IEEE DOI 1612
BibRef
Earlier: A1, A2, A5, A6, A3, Only:
Similarity learning on an explicit polynomial kernel feature map for person re-identification,
CVPR15(1565-1573)
IEEE DOI 1510
BibRef

Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Meng, D.Y.[De-Yu], Xin, X.M.[Xiao-Meng], Li, Y.B.[Yu-Bing], Gong, Y.H.[Yi-Hong], Zheng, N.N.[Nan-Ning],
Deep self-paced learning for person re-identification,
PR(76), No. 1, 2018, pp. 739-751.
Elsevier DOI 1801
Person re-identification BibRef

Ren, L.L.[Liang-Liang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Multi-modal uniform deep learning for RGB-D person re-identification,
PR(72), No. 1, 2017, pp. 446-457.
Elsevier DOI 1708
Person re-identification BibRef

Lin, C.[Chunze], Lu, J.W.[Ji-Wen], Wang, G.[Gang], Zhou, J.[Jie],
Graininess-Aware Deep Feature Learning for Pedestrian Detection,
ECCV18(IX: 745-761).
Springer DOI 1810
BibRef

Lin, J., Ren, L., Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,
CVPR17(3396-3405)
IEEE DOI 1711
Cameras, Image color analysis, Indexes, Lighting, Machine learning, Measurement, Optimal, matching BibRef

Chen, G., Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification,
ICIP17(111-115)
IEEE DOI 1803
Cameras, Correlation, Kernel, Manifolds, Measurement, Optimization, Videos, Person re-identification, canonical correlation analysis, multiple kernel learning. BibRef

Zhou, Q.[Qin], Zheng, S.B.[Shi-Bao], Ling, H.B.[Hai-Bin], Su, H.[Hang], Wu, S.[Shuang],
Joint dictionary and metric learning for person re-identification,
PR(72), No. 1, 2017, pp. 196-206.
Elsevier DOI 1708
Person re-identification BibRef

Dong, H.S.[Hu-Sheng], Gong, S.R.[Sheng-Rong], Liu, C.P.[Chun-Ping], Ji, Y.[Yi], Zhong, S.[Shan],
Large margin relative distance learning for person re-identification,
IET-CV(11), No. 6, September 2017, pp. 455-462.
DOI Link 1709
BibRef

Cheng, D.[De], Gong, Y.H.[Yi-Hong], Chang, X.J.[Xiao-Jun], Shi, W.W.[Wei-Wei], Hauptmann, A.G.[Alexander G.], Zheng, N.N.[Nan-Ning],
Deep feature learning via structured graph Laplacian embedding for person re-identification,
PR(82), 2018, pp. 94-104.
Elsevier DOI 1806
Person re-identification, Structured, Graph Laplacian, Deep learning BibRef

Ma, A.J.H.[Andy Jin-Hua], Li, J.W.[Jia-Wei], Yuen, P.C.[Pong C.], Li, P.[Ping],
Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs,
IP(24), No. 5, May 2015, pp. 1599-1613.
IEEE DOI 1504
BibRef
Earlier: A1, A3, A2, Only:
Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information,
ICCV13(3567-3574)
IEEE DOI 1403
cameras. Domain Adaptation; Person Re-Identification BibRef

Ma, A.J.H.[Andy Jin-Hua], Li, P.[Ping],
Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs,
ACCV14(IV: 598-613).
Springer DOI 1504
BibRef
And:
Query Based Adaptive Re-ranking for Person Re-identification,
ACCV14(V: 397-412).
Springer DOI 1504
BibRef

Li, J.W.[Jia-Wei], Ma, A.J.[Andy J.], Yuen, P.C.[Pong C.],
Semi-supervised Region Metric Learning for Person Re-identification,
IJCV(126), No. 8, August 2018, pp. 855-874.
Springer DOI 1807
BibRef

Ye, M.[Mang], Li, J.W.[Jia-Wei], Ma, A.J.[Andy J.], Zheng, L.[Liang], Yuen, P.C.[Pong C.],
Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification,
IP(28), No. 6, June 2019, pp. 2976-2990.
IEEE DOI 1905
BibRef
Earlier: A1, A3, A4, A2, A5:
Dynamic Label Graph Matching for Unsupervised Video Re-identification,
ICCV17(5152-5160)
IEEE DOI 1802
cameras, data mining, graph theory, image matching, learning (artificial intelligence), object detection, unsupervised learning. image sensors. BibRef

Li, S., Gao, C., Zhu, J., Li, C.,
Person Reidentification Using Attribute-Restricted Projection Metric Learning,
CirSysVideo(28), No. 8, August 2018, pp. 1765-1776.
IEEE DOI 1808
Feature extraction, Learning systems, Extraterrestrial measurements, Cameras, Lighting, Surveillance, person reidentification BibRef

An, L., Qin, Z., Chen, X., Yang, S.,
Multi-Level Common Space Learning for Person Re-Identification,
CirSysVideo(28), No. 8, August 2018, pp. 1777-1787.
IEEE DOI 1808
Cameras, Measurement, Feature extraction, Image color analysis, Probes, Lighting, Surveillance, Person re-identification, group sparse representation BibRef

Borgia, A., Hua, Y., Kodirov, E., Robertson, N.M.[Neil M.],
Cross-View Discriminative Feature Learning for Person Re-Identification,
IP(27), No. 11, November 2018, pp. 5338-5349.
IEEE DOI 1809
feature extraction, image representation, learning (artificial intelligence), discriminative features BibRef

Borgia, A.[Alessandro], Hua, Y.[Yang], Kodirov, E.[Elyor], Robertson, N.M.[Neil M.],
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification,
WACV19(1175-1184)
IEEE DOI 1904
gait analysis, image matching, image sequences, pose estimation, recurrent neural nets, inter-sequence temporal dependencies, Measurement BibRef

Zhu, X., Jing, X., You, X., Zhang, X., Zhang, T.,
Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics,
IP(27), No. 11, November 2018, pp. 5683-5695.
IEEE DOI 1809
Measurement, Computer aided instruction, Feature extraction, Task analysis, Training, Legged locomotion, set-based distance learning BibRef

Zhang, C.Y.[Cai-You], Zhou, M.[Man], Yang, H.Z.[Hong-Zhen], Shen, X.J.[Xiao-Jun], Wang, Y.[Yanbo],
A method of multi-criteria set recognition based on deep feature representation,
JVCIR(55), 2018, pp. 756-760.
Elsevier DOI 1809
Person re-identification, Convolutional neural network, Multiple metric ensembles BibRef

Hu, L.[Liang], Hong, C.Q.[Chao-Qun], Zeng, Z.Q.A.[Zhi-Qi-Ang], Wang, X.D.[Xiao-Dong],
Two-stream person re-identification with multi-task deep neural networks,
RealTimeIP(14), No. 1, January 2018, pp. 947-954.
WWW Link. 1809
BibRef

Yang, Z.[Zhao], Hu, X.[Xiao], Dai, F.[Fei], Pang, J.X.[Jian-Xin], Jiang, T.[Tao], Tao, D.P.[Da-Peng],
Person re-identification by discriminant analytical least squares metric learning,
RealTimeIP(14), No. 1, January 2018, pp. 1019-1031.
WWW Link. 1809
BibRef

Bak, S., Carr, P.,
Deep Deformable Patch Metric Learning for Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2690-2702.
IEEE DOI 1811
BibRef
Earlier:
One-Shot Metric Learning for Person Re-identification,
CVPR17(1571-1580)
IEEE DOI 1711
BibRef
Earlier:
Person re-identification using deformable patch metric learning,
WACV16(1-9)
IEEE DOI 1606
Measurement, Feature extraction, Cameras, Deformable models, Robustness, Training data, Metric learning, deformable models. Cameras, Image color analysis, Measurement, BibRef

Nguyen, B., de Baets, B.[Bernard],
Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification,
IP(28), No. 2, February 2019, pp. 589-600.
IEEE DOI 1811
computer vision, covariance matrices, image recognition, learning (artificial intelligence), kernel-based learning BibRef

Zhu, J., Zeng, H., Liao, S., Lei, Z., Cai, C., Zheng, L.,
Deep Hybrid Similarity Learning for Person Re-Identification,
CirSysVideo(28), No. 11, November 2018, pp. 3183-3193.
IEEE DOI 1811
Euclidean distance, Convolution, Neural networks, Feature extraction, Correlation, DH-HEMTs, Metric learning, person re-identification (Re-ID) BibRef

Karanam, S., Wu, Z., Radke, R.J.,
Learning Affine Hull Representations for Multi-Shot Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2500-2512.
IEEE DOI 1811
Measurement, Cameras, Learning systems, Image sequences, Probes, Image recognition, Approximation algorithms, Re-identification, video analytics BibRef

Zhu, X., Jing, X., Yang, L., You, X., Chen, D., Gao, G., Wang, Y.,
Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2599-2611.
IEEE DOI 1811
Videos, Cameras, Dictionaries, Feature extraction, Training, Computer aided instruction, Labeling, cross-view learning 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, Electronic mail, intelligent video analysis BibRef

Zhang, W.[Wei], Yu, X.D.[Xiao-Dong], He, X.Y.[Xuan-Yu],
Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2768-2776.
IEEE DOI 1811
Feature extraction, Measurement, Optical filters, Cameras, Video sequences, Recurrent neural networks, surveillance BibRef

Zhang, W.[Wei], Hu, S.N.[Sheng-Nan], Liu, K.[Kan], Zha, Z.J.[Zheng-Jun],
Learning Compact Appearance Representation for Video-Based Person Re-Identification,
CirSysVideo(29), No. 8, August 2019, pp. 2442-2452.
IEEE DOI 1908
Legged locomotion, Feature extraction, Task analysis, Cameras, Video sequences, Training, Data mining, CNN BibRef

Chen, Y.Q.[Yi-Qiang], Duffner, S.[Stefan], Stoian, A.[Andrei], Dufour, J.Y.[Jean-Yves], Baskurt, A.[Atilla],
Deep and low-level feature based attribute learning for person re-identification,
IVC(79), 2018, pp. 25-34.
Elsevier DOI 1811
Person re-identification, Soft-biometrics, Pedestrian attributes, Convolutional neural network BibRef

Wang, H.X.[Han-Xiao], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Person Re-identification in Identity Regression Space,
IJCV(126), No. 12, December 2018, pp. 1288-1310.
Springer DOI 1811
BibRef

Li, M.X.[Min-Xian], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang],
Unsupervised Person Re-identification by Deep Learning Tracklet Association,
ECCV18(II: 772-788).
Springer DOI 1810
BibRef

Wang, S.[Shengke], Zhang, X.Y.[Xiao-Yan], Chen, L.[Long], Zhou, H.Y.[Hui-Yu], Dong, J.Y.[Jun-Yu],
Asymmetric filtering-based dense convolutional neural network for person re-identification combined with Joint Bayesian and re-ranking,
JVCIR(57), 2018, pp. 262-271.
Elsevier DOI 1812
Person re-identification, Joint Bayesian, Deep convolutional neural networks, Multimodal features BibRef

Wang, S.[Shengke], Duan, L.H.[Liang-Hua], Yang, N.[Na], Dong, J.Y.[Jun-Yu],
Person re-identification with deep dense feature representation and Joint Bayesian,
ICIP17(3560-3564)
IEEE DOI 1803
Bayes methods, Cameras, Convolution, Feature extraction, Machine learning, Measurement, Training, verification BibRef

Dai, J., Zhang, P., Wang, D., Lu, H., Wang, H.,
Video Person Re-Identification by Temporal Residual Learning,
IP(28), No. 3, March 2019, pp. 1366-1377.
IEEE DOI 1812
Feature extraction, Video sequences, Cameras, Face recognition, Image recognition, Data mining, Bidirectional control, temporal residual learning BibRef

Huang, Y., Xu, J., Wu, Q., Zheng, Z., Zhang, Z., Zhang, J.,
Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification,
IP(28), No. 3, March 2019, pp. 1391-1403.
IEEE DOI 1812
Training, Semisupervised learning, Training data, Data models, Machine learning, Task analysis, semi-supervised learning BibRef

Xian, Y.Q.[Yu-Qiao], Hu, H.F.[Hai-Feng],
Enhanced multi-dataset transfer learning method for unsupervised person re-identification using co-training strategy,
IET-CV(12), No. 8, December 2018, pp. 1219-1227.
DOI Link 1812
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Subramanyam, A.V., Gupta, V., Ahuja, R.,
Robust Discriminative Subspace Learning for Person Reidentification,
SPLetters(26), No. 1, January 2019, pp. 154-158.
IEEE DOI 1901
covariance analysis, iterative methods, learning (artificial intelligence), video surveillance, person Re-identification BibRef

Liu, Y.G.[Yong-Ge], Song, N.[Nan], Han, Y.H.[Ya-Hong],
Multi-cue fusion: Discriminative enhancing for person re-identification,
JVCIR(58), 2019, pp. 46-52.
Elsevier DOI 1901
Deep learning, Fusion strategy, Re-identification BibRef

Ouyang, D.Q.A.[De-Qi-Ang], Zhang, Y.H.[Yong-Hui], Shao, J.[Jie],
Video-based person re-identification via spatio-temporal attentional and two-stream fusion convolutional networks,
PRL(117), 2019, pp. 153-160.
Elsevier DOI 1901
Video-based person re-identification, Two-stream fusion, Spatio-temporal attention network, Heterogenous feature fusion BibRef

Zhao, C.R.[Cai-Rong], Chen, K.[Kang], Wei, Z.H.[Zhi-Hua], Chen, Y.P.[Yi-Peng], Miao, D.Q.[Duo-Qian], Wang, W.[Wei],
Multilevel triplet deep learning model for person re-identification,
PRL(117), 2019, pp. 161-168.
Elsevier DOI 1901
Multilevel feature extraction, Triplet architecture, Person re-identification BibRef

Fan, X.[Xing], Jiang, W.[Wei], Luo, H.[Hao], Fei, M.[Mengjuan],
SphereReID: Deep hypersphere manifold embedding for person re-identification,
JVCIR(60), 2019, pp. 51-58.
Elsevier DOI 1903
Person re-identification, Classification, Feature embedding, CNN, Hypersphere BibRef

Yao, H.T.[Han-Tao], Zhang, S.L.[Shi-Liang], Hong, R.C.[Ri-Chang], Zhang, Y.D.[Yong-Dong], Xu, C.S.[Chang-Sheng], Tian, Q.[Qi],
Deep Representation Learning With Part Loss for Person Re-Identification,
IP(28), No. 6, June 2019, pp. 2860-2871.
IEEE DOI 1905
image classification, image representation, learning (artificial intelligence), neural nets, convolutional neural networks BibRef

Wu, Y.[Yu], Lin, Y.T.[Yu-Tian], Dong, X.Y.[Xuan-Yi], Yan, Y.[Yan], Bian, W.[Wei], Yang, Y.[Yi],
Progressive Learning for Person Re-Identification With One Example,
IP(28), No. 6, June 2019, pp. 2872-2881.
IEEE DOI 1905
convolutional neural nets, image sampling, learning (artificial intelligence), index-labeled data, few-example learning BibRef

Wu, L., Wang, Y., Gao, J., Li, X.,
Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification,
MultMed(21), No. 6, June 2019, pp. 1412-1424.
IEEE DOI 1906
Feature extraction, Measurement, Visualization, Spatiotemporal phenomena, Convolution, Computer architecture, visual attention BibRef

Xu, X.Y.[Xiao-Yue], Chen, Y.[Ying],
Video-based person re-identification based on regularised hull distance learning,
IET-CV(13), No. 4, June 2019, pp. 385-394.
DOI Link 1906
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Zhang, J.[Jian'an], Wang, Q.[Qi], Yuan, Y.[Yuan],
Metric learning by simultaneously learning linear transformation matrix and weight matrix for person re-identification,
IET-CV(13), No. 4, June 2019, pp. 428-434.
DOI Link 1906
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Nambiar, A.[Athira], Bernardino, A.[Alexandre], Nascimento, J.C.[Jacinto C.],
Gait-based Person Re-identification: A Survey,
Surveys(51), No. 1, February 2019, pp. Article No 33.
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Survey, Gait. BibRef

Luo, H.[Hao], Jiang, W.[Wei], Zhang, X.[Xuan], Fan, X.[Xing], Qian, J.J.[Jing-Jing], Zhang, C.[Chi],
AlignedReID++: Dynamically matching local information for person re-identification,
PR(94), 2019, pp. 53-61.
Elsevier DOI 1906
Person re-identification, CNNs, Dynamically alignment BibRef

Meng, J.[Jingke], Wu, A.[Ancong], Zheng, W.S.[Wei-Shi],
Deep asymmetric video-based person re-identification,
PR(93), 2019, pp. 430-441.
Elsevier DOI 1906
Person re-identification, Visual surveillance BibRef

Li, W.H.[Wei-Hong], Zhong, Z.[Zhuowei], Zheng, W.S.[Wei-Shi],
One-pass person re-identification by sketch online discriminant analysis,
PR(93), 2019, pp. 237-250.
Elsevier DOI 1906
Online learning, Person re-identification, Discriminant feature extraction BibRef

Cao, M.[Min], Chen, C.[Chen], Hu, X.[Xiyuan], Peng, S.[Silong],
Towards fast and kernelized orthogonal discriminant analysis on person re-identification,
PR(94), 2019, pp. 218-229.
Elsevier DOI 1906
Person re-identification, Metric learning, Singularity problem, Orthogonal discriminant analysis BibRef

Li, D.G.[Dian-Gang], Gong, Y.H.[Yi-Hong], Cheng, D.[De], Shi, W.W.[Wei-Wei], Tao, X.[Xiaoyu], Chang, X.Y.[Xin-Yuan],
Consistency-Preserving deep hashing for fast person re-identification,
PR(94), 2019, pp. 207-217.
Elsevier DOI 1906
Convolutional neural network, Fast person re-identification, Deep hashing, Consistency preservation BibRef

Chen, G.Y.[Guang-Yi], Lu, J.W.[Ji-Wen], Yang, M.[Ming], Zhou, J.[Jie],
Spatial-Temporal Attention-Aware Learning for Video-Based Person Re-Identification,
IP(28), No. 9, Sep. 2019, pp. 4192-4205.
IEEE DOI 1908
feature extraction, image matching, image representation, image sequences, learning (artificial intelligence), spatial-temporal attention model BibRef

Zheng, L., Huang, Y., Lu, H., Yang, Y.,
Pose-Invariant Embedding for Deep Person Re-Identification,
IP(28), No. 9, Sep. 2019, pp. 4500-4509.
IEEE DOI 1908
affine transforms, convolutional neural nets, face recognition, feature extraction, image matching, image representation, person re-identification BibRef

Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Meng, D.[Deyu], Liang, Y.D.[Yu-Dong], Gong, Y.H.[Yi-Hong], Zheng, N.N.[Nan-Ning],
Discriminative Feature Learning With Foreground Attention for Person Re-Identification,
IP(28), No. 9, Sep. 2019, pp. 4671-4684.
IEEE DOI 1908
convolutional neural nets, image representation, object detection, regression analysis, supervised learning, foreground attentive feature learning BibRef

Zhong, W.L.[Wei-Lin], Zhang, T.[Tao], Jiang, L.F.[Lin-Feng], Ji, J.S.[Jin-Sheng], Zhang, Z.H.[Zeng-Hui], Xiong, H.L.[Hui-Lin],
Discriminative representation learning for person re-identification via multi-loss training,
JVCIR(62), 2019, pp. 267-278.
Elsevier DOI 1908
Person re-identification, Multi-loss training, Inter-center loss BibRef


Xu, F.R.[Fu-Rong], Ma, B.P.[Bing-Peng], Chang, H.[Hong], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Style Transfer with Adversarial Learning for Cross-Dataset Person Re-identification,
ACCV18(VI:165-180).
Springer DOI 1906
BibRef

Liao, X.[Xingyu], He, L.[Lingxiao], Yang, Z.W.[Zhou-Wang], Zhang, C.[Chi],
Video-Based Person Re-identification via 3D Convolutional Networks and Non-local Attention,
ACCV18(VI:620-634).
Springer DOI 1906
BibRef

Fan, X.[Xing], Luo, H.[Hao], Zhang, X.[Xuan], He, L.[Lingxiao], Zhang, C.[Chi], Jiang, W.[Wei],
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-identification,
ACCV18(II:19-34).
Springer DOI 1906
BibRef

Ponce-López, V.[Víctor], Burghardt, T.[Tilo], Hannunna, S.[Sion], Damen, D.[Dima], Masullo, A.[Alessandro], Mirmehdi, M.[Majid],
Semantically Selective Augmentation for Deep Compact Person Re-Identification,
PersonContext18(II:551-561).
Springer DOI 1905
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Hara, K.[Kensho], Kataoka, H.[Hirokatsu], Inaba, M.[Masaki], Narioka, K.[Kenichi], Satoh, Y.[Yutaka],
Recognizing People in Blind Spots Based on Surrounding Behavior,
PersonContext18(II:562-570).
Springer DOI 1905
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Khan, F., Bremond, F.,
Cross Domain Residual Transfer Learning for Person Re-Identification,
WACV19(2019-2028)
IEEE DOI 1904
feature extraction, image matching, image recognition, learning (artificial intelligence), neural nets, Feature extraction BibRef

Zhu, X.R.[Xie-Rong], Liu, J.W.[Jia-Wei], Xie, H.T.[Hong-Tao], Zha, Z.J.[Zheng-Jun],
Adaptive Alignment Network for Person Re-identification,
MMMod19(II:16-27).
Springer DOI 1901
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Tian, M.Q.[Mao-Qing], Yi, S.A.[Shu-Ai], Li, H.S.[Hong-Sheng], Li, S.H.[Shi-Hua], Zhang, X.S.[Xue-Sen], Shi, J.P.[Jian-Ping], Yan, J.J.[Jun-Jie], Wang, X.G.[Xiao-Gang],
Eliminating Background-bias for Robust Person Re-identification,
CVPR18(5794-5803)
IEEE DOI 1812
Testing, Training, Neural networks, Visualization, Cameras, Probes BibRef

Zhang, Y.H.[Yong-Hui], Shao, J.[Jie], Ouyang, D.Q.[De-Qiang], Shen, H.T.[Heng Tao],
Person Re-identification Using Two-Stage Convolutional Neural Network,
ICPR18(3341-3346)
IEEE DOI 1812
Feature extraction, Image sequences, Convolutional neural networks, Computer aided instruction, Training BibRef

Xiang, J., Lin, R., Hou, J., Huang, W.,
Person Re-identification Based on Feature Fusion and Triplet Loss Function,
ICPR18(3477-3482)
IEEE DOI 1812
Feature extraction, Semantics, Measurement, Task analysis, Neural networks, Convolution, Training BibRef

Jiang, N., Liu, J., Sun, C., Wang, Y., Zhou, Z., Wu, W.,
Orientation-Guided Similarity Learning for Person Re-identification,
ICPR18(2056-2061)
IEEE DOI 1812
Feature extraction, Training, Measurement, Shoulder, Pose estimation, Image color analysis BibRef

Huang, X., Xu, J., Guo, G.,
Incremental Kernel Null Foley-Sammon Transform for Person Re-identification,
ICPR18(1683-1688)
IEEE DOI 1812
Transforms, Data models, Null space, Learning systems, Training, Measurement BibRef

Du, P., Song, Y., Zhang, Y.,
Which Part is Better: Multi-Part Competition Network for person Re-Identification,
ICPR18(1634-1639)
IEEE DOI 1812
Feature extraction, Head, Detectors, Measurement, Convolution, Magnetic heads, Legged locomotion, person re-identification, Multi-Part Competition Network BibRef

Cao, M.[Min], Chen, C.[Chen], Hu, X.[Xiyuan], Peng, S.[Silong],
Ranking Loss: A Novel Metric Learning Method for Person Re-identification,
ACCV18(II:381-397).
Springer DOI 1906
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And:
Region-specific Metric Learning for Person Re-identification,
ICPR18(794-799)
IEEE DOI 1812
Feature extraction, Measurement, Learning systems, Cameras, Principal component analysis, Dimensionality reduction, Image color analysis BibRef

Guo, R., Li, C., Li, Y., Lin, J.,
Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,
ICPR18(982-987)
IEEE DOI 1812
Kernel, Probes, Task analysis, Proposals, Surveillance, Cameras, Benchmark testing BibRef

Li, Y., Yang, F., Liu, Y., Yeh, Y., Du, X., Wang, Y.F.,
Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification,
Crowd18(285-2856)
IEEE DOI 1812
Adaptation models, Training, Cameras, Task analysis, Data models, Visualization, Feature extraction BibRef

Lejbølle, A.R., Krogh, B., Nasrollahi, K., Moeslund, T.B.,
Attention in Multimodal Neural Networks for Person Re-identification,
Crowd18(292-2928)
IEEE DOI 1812
Feature extraction, Convolution, Data mining, Fuses, Cameras, Image color analysis, Neural networks BibRef

Deng, W., Zheng, L., Ye, Q., Kang, G., Yang, Y., Jiao, J.,
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,
CVPR18(994-1003)
IEEE DOI 1812
Training, Generators, Training data, Generative adversarial networks, Learning systems, Estimation BibRef

Wei, L., Zhang, S., Gao, W., Tian, Q.,
Person Transfer GAN to Bridge Domain Gap for Person Re-identification,
CVPR18(79-88)
IEEE DOI 1812
Cameras, Lighting, Videos, Task analysis, Training, Testing BibRef

Chen, D., Xu, D., Li, H., Sebe, N., Wang, X.,
Group Consistent Similarity Learning via Deep CRF for Person Re-identification,
CVPR18(8649-8658)
IEEE DOI 1812
Training, Measurement, Probes, Neural networks, Estimation, Graphical models, Task analysis BibRef

Lv, J., Chen, W., Li, Q., Yang, C.,
Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns,
CVPR18(7948-7956)
IEEE DOI 1812
Visualization, Silicon, Cameras, Surveillance, Supervised learning, Feature extraction, Optimization BibRef

Shen, Y., Xiao, T., Li, H., Yi, S., Wang, X.,
End-to-End Deep Kronecker-Product Matching for Person Re-identification,
CVPR18(6886-6895)
IEEE DOI 1812
Computer vision, Estimation, Neural networks, Measurement, Layout, Semantics BibRef

Roy, S., Paul, S., Young, N.E., Roy-Chowdhury, A.K.,
Exploiting Transitivity for Learning Person Re-identification Models on a Budget,
CVPR18(7064-7072)
IEEE DOI 1812
Cameras, Labeling, Measurement, Optimization, Manuals, Task analysis, Image edge detection BibRef

Si, J., Zhang, H., Li, C., Kuen, J., Kong, X., Kot, A.C., Wang, G.,
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,
CVPR18(5363-5372)
IEEE DOI 1812
Feature extraction, Measurement, Task analysis, Visualization, Semantics, Transforms, Computer vision BibRef

Wu, Y., Lin, Y., Dong, X., Yan, Y., Ouyang, W., Yang, Y.,
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning,
CVPR18(5177-5186)
IEEE DOI 1812
Training, Reliability, Data models, Estimation, Feature extraction, Task analysis, Cameras BibRef

Guo, Y., Cheung, N.,
Efficient and Deep Person Re-identification Using Multi-level Similarity,
CVPR18(2335-2344)
IEEE DOI 1812
Feature extraction, Convolution, Visualization, Task analysis, Measurement, Image color analysis, Computational modeling BibRef

Chang, X., Hospedales, T.M., Xiang, T.,
Multi-level Factorisation Net for Person Re-identification,
CVPR18(2109-2118)
IEEE DOI 1812
Semantics, Computer architecture, Visualization, Feature extraction, Frequency modulation, Task analysis, Cameras BibRef

Xu, J., Zhao, R., Zhu, F., Wang, H., Ouyang, W.,
Attention-Aware Compositional Network for Person Re-identification,
CVPR18(2119-2128)
IEEE DOI 1812
Feature extraction, Clutter, Pose estimation, Legged locomotion, Cameras, Visualization, Task analysis BibRef

Shen, Y., Li, H., Xiao, T., Yi, S., Chen, D., Wang, X.,
Deep Group-Shuffling Random Walk for Person Re-identification,
CVPR18(2265-2274)
IEEE DOI 1812
Probes, Neural networks, Training, Task analysis, Testing, Estimation BibRef

Li, W., Zhu, X., Gong, S.,
Harmonious Attention Network for Person Re-identification,
CVPR18(2285-2294)
IEEE DOI 1812
Data models, Computational modeling, Visualization, Training, Surveillance, Training data BibRef

Shi, X., Shan, S., Kan, M., Wu, S., Chen, X.,
Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks,
CVPR18(2295-2303)
IEEE DOI 1812
Face, Detectors, Calibration, Face detection, Training, Task analysis, Real-time systems BibRef

Marchwica, P., Jamieson, M., Siva, P.,
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification,
CRV18(297-304)
IEEE DOI 1812
Cameras, Training, Buildings, Network architecture, Testing, Training data, Airports, Person Re-identification, Deep Learning BibRef

Zhong, Z.[Zhun], Zheng, L.[Liang], Li, S.[Shaozi], Yang, Y.[Yi],
Generalizing a Person Retrieval Model Hetero- and Homogeneously,
ECCV18(XIII: 176-192).
Springer DOI 1810
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Li, X.[Xiang], Wu, A.[Ancong], Zheng, W.S.[Wei-Shi],
Adversarial Open-World Person Re-Identification,
ECCV18(II: 287-303).
Springer DOI 1810
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Wang, C.[Cheng], Zhang, Q.[Qian], Huang, C.[Chang], Liu, W.Y.[Wen-Yu], Wang, X.G.[Xing-Gang],
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification,
ECCV18(II: 384-400).
Springer DOI 1810
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Ali, T.M.F.[T. M. Feroz], Chaudhuri, S.[Subhasis],
Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification,
ECCV18(XIII: 123-141).
Springer DOI 1810
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Bak, S.[Slawomir], Carr, P.[Peter], Lalonde, J.F.[Jean-François],
Domain Adaptation Through Synthesis for Unsupervised Person Re-identification,
ECCV18(XIII: 193-209).
Springer DOI 1810
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Chen, D.P.[Da-Peng], Li, H.S.[Hong-Sheng], Liu, X.[Xihui], Shen, Y.[Yantao], Shao, J.[Jing], Yuan, Z.J.[Ze-Jian], Wang, X.G.[Xiao-Gang],
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,
ECCV18(XVI: 56-73).
Springer DOI 1810
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Yu, R.[Rui], Dou, Z.Y.[Zhi-Yong], Bai, S.[Song], Zhang, Z.X.[Zhao-Xiang], Xu, Y.[Yongchao], Bai, X.[Xiang],
Hard-Aware Point-to-Set Deep Metric for Person Re-identification,
ECCV18(XVI: 196-212).
Springer DOI 1810
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Zhang, X., Bhanu, B.,
An Unbiased Temporal Representation for Video-Based Person Re-Identification,
ICIP18(838-842)
IEEE DOI 1809
Training, Feature extraction, Cameras, Recurrent neural networks, Task analysis, Euclidean distance, recurrent neural networks (RNNs) BibRef

Chen, Y.Q.[Yi-Qiang], Duffner, S.[Stefan], Stoian, A.[Andrei], Dufour, J.Y.[Jean-Yves], Baskurt, A.[Atilla],
Person Re-identification Using Group Context,
ACIVS18(392-401).
Springer DOI 1810
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And:
Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network,
ACIVS18(26-37).
Springer DOI 1810
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And: A1, A2, A5, A3, A4:
Similarity Learning with Listwise Ranking for Person Re-Identification,
ICIP18(843-847)
IEEE DOI 1809
Training, Loss measurement, Probes, Robustness, Machine learning, Manganese, Video surveillance, Similarity learning BibRef

Jiao, F., Bhanu, B.,
Deepagent: An Algorithm Integration Approach for Person Re-Identification,
ICIP18(853-857)
IEEE DOI 1809
Probes, Feature extraction, Training, Cameras, Learning (artificial intelligence), Neural networks, Testing, Algorithm integration BibRef

Hu, X., Jiang, Z., Guo, X., Zhou, Y.,
Person Re-Identification by Deep Learning Muti-Part Information Complementary,
ICIP18(848-852)
IEEE DOI 1809
Feature extraction, Training, Task analysis, Measurement, Machine learning, Probes, Cameras, neural networks, deep learning, metric learning BibRef

Chen, K., Chen, Y., Han, C., Sang, N., Gao, C., Wang, R.,
Improving Person Re-Identification by Adaptive Hard Sample Mining,
ICIP18(1638-1642)
IEEE DOI 1809
Training, Adaptation models, Computational modeling, Machine learning, Robustness, Cameras, Task analysis, Deep Learning BibRef

Zhao, Y., Luo, S., Yang, Y., Song, M.,
DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification,
ICIP18(1653-1657)
IEEE DOI 1809
CNN, person re-identification, hashing BibRef

Yu, J., Ko, D., Moon, H., Jeon, M.,
Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition,
ICIP18(1658-1662)
IEEE DOI 1809
Task analysis, Face, Feature extraction, Measurement, Training, Optimization, Probes, person re-identification BibRef

Kato, N.[Naoki], Hakozaki, K.[Kohei], Tanabiki, M.[Masamoto], Furuyama, J.[Junko], Sato, Y.[Yuji], Aoki, Y.[Yoshimitsu],
Video-Based Person Re-identification by 3D Convolutional Neural Networks and Improved Parameter Learning,
ICIAR18(153-163).
Springer DOI 1807
BibRef

Chen, W., Chen, X., Zhang, J., Huang, K.,
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification,
CVPR17(1320-1329)
IEEE DOI 1711
Feature extraction, Loss measurement, Machine learning, Probes, Testing, Training BibRef

Carr, S.B.P.,
Deep spatial pyramid for person re-identification,
AVSS17(1-6)
IEEE DOI 1806
cellular neural nets, feature extraction, image classification, image representation, image sensors, Training BibRef

Chen, Y., Duffner, S., Stoian, A., Dufour, J.Y., Baskurt, A.,
Triplet CNN and pedestrian attribute recognition for improved person re-identification,
AVSS17(1-6)
IEEE DOI 1806
feature extraction, image representation, learning (artificial intelligence), multilayer perceptrons, Visualization BibRef

Zhang, Y.H.[Yi-Hao], Wang, W.M.[Wen-Min], Wang, J.Z.[Jin-Zhuo],
Deep discriminative network with inception module for person re-identification,
VCIP17(1-4)
IEEE DOI 1804
cameras, computer vision, feature extraction, feedforward neural nets, image classification, image matching, person re-identification BibRef

Ji, X.L.[Xiang-Li], Luo, G.B.[Gui-Bo], Zhu, Y.S.[Yue-Sheng],
A New Temporal Deconvolutional Pyramid Network for Action Detection,
ACCV18(IV:696-711).
Springer DOI 1906
BibRef

Hao, L.[Lei], Wang, D.Y.[Dai-Ying], Zhu, Y.S.[Yue-Sheng],
Learning biased distance metrics with diversity regularizer for person re-identification,
VCIP17(1-4)
IEEE DOI 1804
computer vision, image matching, learning (artificial intelligence), BMLDR method, metric learning BibRef

Lin, S., Li, C.T.,
End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification,
DICTA17(1-6)
IEEE DOI 1804
feature extraction, image matching, image representation, learning (artificial intelligence), neural nets, Training BibRef

Mumtaz, S., Mubariz, N., Saleem, S., Fraz, M.M.,
Weighted hybrid features for person re-identification,
IPTA17(1-6)
IEEE DOI 1804
cameras, feature extraction, learning (artificial intelligence), pose estimation, video surveillance, LOMO features, Person Re-identification BibRef

Sun, L., Zhou, Y., Jiang, Z., Men, A.,
Coupled analysis-synthesis dictionary learning for person re-identification,
ICIP17(365-369)
IEEE DOI 1803
Cameras, Dictionaries, Encoding, Machine learning, Optimization, Probes, Training, LFDA, Person re-identification, coupled dictionary learning BibRef

Hao, L., Yao, W., Pei, C., Zhu, Y.,
Integrated metric learning with adaptive constraints for person re-identification,
ICIP17(161-165)
IEEE DOI 1803
Covariance matrices, Learning systems, Measurement, Optimization, Task analysis, Training, Upper bound, Person re-identification, metric learning BibRef

Schumann, A., Gong, S., Schuchert, T.,
Deep learning prototype domains for person re-identification,
ICIP17(1767-1771)
IEEE DOI 1803
Adaptation models, Cameras, Data models, Machine learning, Prototypes, Training, Visualization, Deep Learning, Transfer Learning BibRef

Liu, J., Yang, Z., Zhang, T., Xiong, H.,
Multi-part compact bilinear CNN for person re-identification,
ICIP17(2309-2313)
IEEE DOI 1803
Convolution, Convolutional neural networks, Feature extraction, Histograms, Machine learning, Measurement, Task analysis, multi-part BibRef

Zhao, H., Han, Z., Li, Z., Qin, F.,
Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning,
ICIP17(3405-3409)
IEEE DOI 1803
Cameras, Learning systems, Mathematical model, Measurement, Probes, Surveillance, Training, Person Re-identification, Re-ranking, Sample-specific Metric Learning BibRef

Kim, J., Yoo, C.D.,
Deep partial person re-identification via attention model,
ICIP17(3425-3429)
IEEE DOI 1803
Convolution, Feature extraction, Kernel, Measurement, Neural networks, Probes, Training, Attention model, RoI Pooling BibRef

Xu, W., Chi, H., Zhou, L., Huang, X., Yang, J.,
Self-paced least square semi-coupled dictionary learning for person re-identification,
ICIP17(3705-3709)
IEEE DOI 1803
Dictionaries, Linear programming, Machine learning, Measurement, Optimization, Probes, Support vector machines, Self-Paced Learning, samplespecific SVM BibRef

Rahimpour, A., Liu, L., Taalimi, A., Song, Y., Qi, H.,
Person re-identification using visual attention,
ICIP17(4242-4246)
IEEE DOI 1803
Computational modeling, Computer architecture, Measurement, Neural networks, Task analysis, Training, Visualization, Deep CNN, Triplet loss BibRef

Zhong, W., Xiong, H., Yang, Z., Zhang, T.,
Bi-directional long short-term memory architecture for person re-identification with modified triplet embedding,
ICIP17(1562-1566)
IEEE DOI 1803
Indexes, Long-Short Term Memory, bi-directional information flow, modified triplet, spatial correlation BibRef

Zheng, Z., Zheng, L., Yang, Y.,
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro,
ICCV17(3774-3782)
IEEE DOI 1802
convolution, image representation, image sampling, learning (artificial intelligence), neural nets, Training data BibRef

Xu, S., Cheng, Y., Gu, K., Yang, Y., Chang, S., Zhou, P.,
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification,
ICCV17(4743-4752)
IEEE DOI 1802
feature extraction, image matching, image representation, image sequences, video signal processing, video surveillance, Visualization BibRef

Zhao, L., Li, X., Zhuang, Y., Wang, J.,
Deeply-Learned Part-Aligned Representations for Person Re-identification,
ICCV17(3239-3248)
IEEE DOI 1802
image matching, image representation, learning (artificial intelligence), neural nets, Probes BibRef

Chung, D., Tahboub, K., Delp, E.J.,
A Two Stream Siamese Convolutional Neural Network for Person Re-identification,
ICCV17(1992-2000)
IEEE DOI 1802
convolution, image matching, neural nets, video surveillance, matching accuracy, person re-identification, Streaming media BibRef

Zhou, J., Yu, P., Tang, W., Wu, Y.,
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification,
ICCV17(2439-2447)
IEEE DOI 1802
image classification, learning (artificial intelligence), efficient online local metric adaptation, Visualization BibRef

Liu, Z., Wang, D., Lu, H.,
Stepwise Metric Promotion for Unsupervised Video Person Re-identification,
ICCV17(2448-2457)
IEEE DOI 1802
image matching, video signal processing, cross-camera nearest neighbors, Visualization BibRef

Zhou, S., Wang, J., Wang, J., Gong, Y., Zheng, N.,
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification,
CVPR17(5028-5037)
IEEE DOI 1711
Cameras, Feature extraction, Learning systems, Lighting, Machine learning, Measurement, Robustness BibRef

Zhou, Z., Huang, Y., Wang, W., Wang, L., Tan, T.,
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification,
CVPR17(6776-6785)
IEEE DOI 1711
Computer architecture, Feature extraction, Image sequences, Measurement, Recurrent, neural, networks BibRef

Li, D., Chen, X., Zhang, Z., Huang, K.,
Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification,
CVPR17(7398-7407)
IEEE DOI 1711
Clutter, Feature extraction, Image color analysis, Kernel, Machine learning, Visualization BibRef

o Zhang, J.[Jing], Zhao, X.[Xu],
Integrated Global-Local Metric Learning for Person Re-identification,
WACV17(596-604)
IEEE DOI 1609
Cameras, Learning systems, Measurement, Optimization, Testing, Training, Training, data BibRef

Zhang, L., Xiang, T., Gong, S.,
Learning a Deep Embedding Model for Zero-Shot Learning,
CVPR17(3010-3019)
IEEE DOI 1711
BibRef
Earlier:
Learning a Discriminative Null Space for Person Re-identification,
CVPR16(1239-1248)
IEEE DOI 1612
Computational modeling, Neural networks, Prototypes, Search problems, Semantics, Training, Visualization BibRef

Zhang, Y., Li, B., Lu, H., Irie, A., Ruan, X.,
Sample-Specific SVM Learning for Person Re-identification,
CVPR16(1278-1287)
IEEE DOI 1612
BibRef

Peng, P.[Peixi], Tian, Y.H.[Yong-Hong], Xiang, T.[Tao], Wang, Y.[Yaowei], Huang, T.J.[Tie-Jun],
Joint Learning of Semantic and Latent Attributes,
ECCV16(IV: 336-353).
Springer DOI 1611
Some attributes are discriminative, some not. BibRef

Jose, C.[Cijo], Fleuret, F.[François],
Scalable Metric Learning via Weighted Approximate Rank Component Analysis,
ECCV16(V: 875-890).
Springer DOI 1611
BibRef

Shi, H.L.[Hai-Lin], Yang, Y.[Yang], Zhu, X.Y.[Xiang-Yu], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Zheng, W.[Weishi], Li, S.Z.[Stan Z.],
Embedding Deep Metric for Person Re-identification: A Study Against Large Variations,
ECCV16(I: 732-748).
Springer DOI 1611
BibRef

Varior, R.R.[Rahul Rama], Shuai, B.[Bing], Lu, J.W.[Ji-Wen], Xu, D.[Dong], Wang, G.[Gang],
A Siamese Long Short-Term Memory Architecture for Human Re-identification,
ECCV16(VII: 135-153).
Springer DOI 1611
BibRef

Varior, R.R.[Rahul Rama], Haloi, M.[Mrinal], Wang, G.[Gang],
Gated Siamese Convolutional Neural Network Architecture for Human Re-identification,
ECCV16(VIII: 791-808).
Springer DOI 1611
BibRef

Syed, M.A., Jiao, J.,
Multi-kernel metric learning for person re-identification,
ICIP16(784-788)
IEEE DOI 1610
Cameras BibRef

Chen, J., Wang, Y., Wu, R.,
Person re-identification by distance metric learning to discrete hashing,
ICIP16(789-793)
IEEE DOI 1610
Binary codes BibRef

Yao, W., Weng, Z., Zhu, Y.,
Diversity regularized metric learning for person re-identification,
ICIP16(4264-4268)
IEEE DOI 1610
Computational efficiency BibRef

Wang, W., Taalimi, A., Duan, K., Guo, R., Qi, H.,
Learning patch-dependent kernel forest for person re-identification,
WACV16(1-9)
IEEE DOI 1606
Cameras BibRef

Wu, S., Chen, Y.C., Li, X., Wu, A.C., You, J.J., Zheng, W.S.,
An enhanced deep feature representation for person re-identification,
WACV16(1-8)
IEEE DOI 1606
Convolution BibRef

Zhou, Q.[Qin], Zheng, S.[Shibao], Su, H.[Hang], Yang, H.[Hua], Wang, Y.[Yu], Wu, S.[Shuang],
Kernelized View Adaptive Subspace Learning for Person Re-identification,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Kodirov, E.[Elyor], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification,
BMVC15(xx-yy).
DOI Link 1601
See also Unsupervised Domain Adaptation for Zero-Shot Learning. BibRef

Ahmed, E.[Ejaz], Jones, M.[Michael], Marks, T.K.[Tim K.],
An improved deep learning architecture for person re-identification,
CVPR15(3908-3916)
IEEE DOI 1510
BibRef

Liao, S.C.[Sheng-Cai], Hu, Y.[Yang], Zhu, X.Y.[Xiang-Yu], Li, S.Z.[Stan Z.],
Person re-identification by Local Maximal Occurrence representation and metric learning,
CVPR15(2197-2206)
IEEE DOI 1510
BibRef

Huo, Z.H.[Zhong-Hua], Chen, Y.[Ying], Hua, C.J.[Chun-Jian],
Person Re-identification Based on Multi-directional Saliency Metric Learning,
CVS15(45-55).
Springer DOI 1507
BibRef

Roth, J.[Joseph], Liu, X.M.[Xiao-Ming],
On the Exploration of Joint Attribute Learning for Person Re-identification,
ACCV14(I: 673-688).
Springer DOI 1504
BibRef

Yao, B.H.[Bo-Huai], Zhao, Z.C.[Zhi-Cheng], Liu, K.[Kai],
Metric learning with trace-norm regularization for person re-identification,
ICIP14(2442-2446)
IEEE DOI 1502
Bagging BibRef

Wang, H.X.[Han-Xiao], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Unsupervised Learning of Generative Topic Saliency for Person Re-identification,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Shen, Y.[Yantao], Li, H.S.[Hong-Sheng], Yi, S.[Shuai], Chen, D.P.[Da-Peng], Wang, X.G.[Xiao-Gang],
Person Re-identification with Deep Similarity-Guided Graph Neural Network,
ECCV18(XV: 508-526).
Springer DOI 1810
BibRef

Xiao, T., Li, H.S.[Hong-Sheng], Ouyang, W.L.[Wan-Li], Wang, X.G.[Xiao-Gang],
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification,
CVPR16(1249-1258)
IEEE DOI 1612
BibRef

Li, W.[Wei], Zhao, R.[Rui], Xiao, T.[Tong], Wang, X.G.[Xiao-Gang],
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification,
CVPR14(152-159)
IEEE DOI 1409
Person Re-Identification BibRef

Liao, S.C.[Sheng-Cai], Li, S.Z.[Stan Z.],
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification,
ICCV15(3685-3693)
IEEE DOI 1602
Acceleration BibRef

Yi, D.[Dong], Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai], Li, S.Z.[Stan Z.],
Deep Metric Learning for Person Re-identification,
ICPR14(34-39)
IEEE DOI 1412
Cameras See also Robust Online Learned Spatio-Temporal Context Model for Visual Tracking. BibRef

Xiong, F.[Fei], Gou, M.[Mengran], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
Person Re-Identification Using Kernel-Based Metric Learning Methods,
ECCV14(VII: 1-16).
Springer DOI 1408
BibRef

Zhao, Y.[Yanna], Wang, L.[Lei], Liu, Y.C.[Yun-Cai],
Set-Based Feature Learning for Person Re-identification via Third-Party Images,
ACPR13(401-404)
IEEE DOI 1408
feature extraction BibRef

Xu, Y.L.[Yuan-Lu], Zhou, H.F.[Hong-Fei], Wang, Q.[Qing], Lin, L.[Liang],
Realtime object-of-interest tracking by learning Composite Patch-based Templates,
ICIP12(389-392).
IEEE DOI 1302
BibRef

Wu, Y.[Yang], Li, W.[Wei], Minoh, M.[Michihiko], Mukunoki, M.[Masayuki],
Can feature-based inductive transfer learning help person re-identification?,
ICIP13(2812-2816)
IEEE DOI 1402
Person re-identification BibRef

Li, W.[Wei], Zhao, R.[Rui], Wang, X.G.[Xiao-Gang],
Human Reidentification with Transferred Metric Learning,
ACCV12(I:31-44).
Springer DOI 1304
BibRef

Brand, Y.[Yulia], Avraham, T.[Tamar], Lindenbaum, M.[Michael],
Transitive Re-identification,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Avraham, T.[Tamar], Gurvich, I.[Ilya], Lindenbaum, M.[Michael], Markovitch, S.[Shaul],
Learning Implicit Transfer for Person Re-identification,
Re-Id12(I: 381-390).
Springer DOI 1210
BibRef

Schumann, A., Stiefelhagen, R.[Rainer],
Person Re-identification by Deep Learning Attribute-Complementary Information,
Re-Id17(1435-1443)
IEEE DOI 1709
Cameras, Machine learning, Robustness, Semantics, Training, Training, data BibRef

Schumann, A., Bauml, M.[Martin], Stiefelhagen, R.[Rainer],
Person tracking-by-detection with efficient selection of part-detectors,
AVSS13(43-50)
IEEE DOI 1311
computer graphics BibRef

Nickel, K.[Kai], Stiefelhagen, R.[Rainer],
Dynamic Integration of Generalized Cues for Person Tracking,
ECCV08(IV: 514-526).
Springer DOI 0810
BibRef

Bauml, M.[Martin], Stiefelhagen, R.[Rainer],
Evaluation of local features for person re-identification in image sequences,
AVSBS11(291-296).
IEEE DOI 1111
BibRef
And:
Interactive person-retrieval in a distributed camera network,
AVSBS11(525-526).
IEEE DOI 1111
AVSS 2011 demo session. BibRef

Weber, M., Bauml, M., Stiefelhagen, R.[Rainer],
Part-based clothing segmentation for person retrieval,
AVSBS11(361-366).
IEEE DOI 1111
BibRef

Hu, L.[Lei], Wang, Y.Z.[Yi-Zhou], Jiang, S.Q.[Shu-Qiang], Huang, Q.M.[Qing-Ming], Gao, W.[Wen],
Human reappearance detection based on on-line learning,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking People with Stereo, or Depth .


Last update:Aug 10, 2019 at 15:07:15