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Earlier: A2, A1, A3:
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0610
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Earlier: A2, A1
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0507
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And: A2, A1:
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0602
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0709
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Earlier:
Detecting Major Segmentation Errors for a Tracked Person Using Colour
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0709
BibRef
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0909
BibRef
Cong, D.N.T.[Dung-Nghi Truong],
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ICISP10(488-495).
Springer DOI
1006
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And: A1, A3, A2:
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IPTA10(60-65).
IEEE DOI
1007
BibRef
Cong, D.N.T.[Dung-Nghi Truong],
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CIAP11(I: 68-77).
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1109
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Closed and Open-World Person Re-Identification and Verification,
DICTA17(1-8)
IEEE DOI
1804
BibRef
Earlier:
Bidirectional sparse representations for multi-shot person
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AVSS16(263-270)
IEEE DOI
1611
feature extraction, image recognition,
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Training.
Cameras
BibRef
Douadi, L.[Lounis],
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Full motion detection system with post-processing,
IPTA10(379-384).
IEEE DOI
1007
BibRef
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1003
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1209
Person re-identification; Non-overlapping cameras; People in crowd;
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1410
cameras
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Matching of Tracked Pedestrians Across Disjoint Camera Views Using
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1208
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1101
Consistent labeling; Non-overlapping camera views; Bayesian model;
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Lian, G.Y.[Guo-Yun],
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1009
BibRef
Chen, X.T.[Xiao-Tang],
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Elsevier DOI
1312
BibRef
Earlier:
Object Tracking across Non-overlapping Cameras Using Adaptive Models,
DTCE12(II:464-477).
Springer DOI
1304
Object tracking
BibRef
Cai, Y.H.[Ying-Hao],
Huang, K.Q.[Kai-Qi],
Tan, T.N.[Tie-Niu],
Human appearance matching across multiple non-overlapping cameras,
ICPR08(1-4).
IEEE DOI
0812
BibRef
And:
Matching tracking sequences across widely separated cameras,
ICIP08(765-768).
IEEE DOI
0810
BibRef
Cai, Y.H.[Ying-Hao],
Chen, W.[Wei],
Huang, K.Q.[Kai-Qi],
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Continuously Tracking Objects Across Multiple Widely Separated Cameras,
ACCV07(I: 843-852).
Springer DOI
0711
BibRef
Cai, Y.H.[Ying-Hao],
Pietikäinen, M.[Matti],
Person Re-identification Based on Global Color Context,
VS10(205-215).
Springer DOI
1109
BibRef
Cai, Y.H.[Ying-Hao],
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IEEE DOI
1008
BibRef
Ma, L.Y.[Lian-Yang],
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Tao, D.C.[Da-Cheng],
Person Re-Identification Over Camera Networks Using Multi-Task
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IP(23), No. 8, August 2014, pp. 3656-3670.
IEEE DOI
1408
image sensors
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Liu, X.[Xiao],
Song, M.L.[Ming-Li],
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1208
Visual attribute; Attribute-restricted latent topic model; Person
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See also Random Forest Construction With Robust Semisupervised Node Splitting.
BibRef
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Wang, M.[Meng],
Tao, D.C.[Da-Cheng],
Person Re-Identification With Metric Learning Using Privileged
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IP(27), No. 2, February 2018, pp. 791-805.
IEEE DOI
1712
Cameras, Learning systems, Logistics, Measurement, Probes, Testing,
Training, Person re-identification,
metric learning
BibRef
Liu, X.[Xiao],
Song, M.L.[Ming-Li],
Tao, D.C.[Da-Cheng],
Zhou, X.C.[Xing-Chen],
Chen, C.[Chun],
Bu, J.J.[Jia-Jun],
Semi-supervised Coupled Dictionary Learning for Person
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CVPR14(3550-3557)
IEEE DOI
1409
person re-identification; semi-supervised coupled dictionary learning
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Kenk, V.S.[Vildana Sulic],
Mandeljc, R.[Rok],
Kovacic, S.[Stanislav],
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Visual re-identification across large, distributed camera networks,
IVC(34), No. 1, 2015, pp. 11-26.
Elsevier DOI
1502
Re-identification
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Wu, Z.Y.[Zi-Yan],
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Viewpoint Invariant Human Re-Identification in Camera Networks Using
Pose Priors and Subject-Discriminative Features,
PAMI(37), No. 5, May 2015, pp. 1095-1108.
IEEE DOI
1504
BibRef
Earlier: A2, A1, A3:
Multi-shot Re-identification with Random-Projection-Based Random
Forests,
WACV15(373-380)
IEEE DOI
1503
Cameras
BibRef
Li, Y.[Yang],
Wu, Z.Y.[Zi-Yan],
Karanam, S.[Srikrishna],
Radke, R.J.[Richard J.],
Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant
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BMVC15(xx-yy).
DOI Link
1601
BibRef
Karanam, S.[Srikrishna],
Li, Y.[Yang],
Radke, R.J.[Richard J.],
Person Re-Identification with Discriminatively Trained Viewpoint
Invariant Dictionaries,
ICCV15(4516-4524)
IEEE DOI
1602
BibRef
Earlier:
Sparse re-id: Block sparsity for person re-identification,
FusionDynamic15(33-40)
IEEE DOI
1510
Cameras
BibRef
Wang, Z.,
Hu, R.,
Liang, C.,
Yu, Y.,
Jiang, J.,
Ye, M.,
Chen, J.,
Leng, Q.,
Zero-Shot Person Re-identification via Cross-View Consistency,
MultMed(18), No. 2, February 2016, pp. 260-272.
IEEE DOI
1601
Cameras
BibRef
Wang, Z.,
Hu, R.,
Chen, C.,
Yu, Y.,
Jiang, J.,
Liang, C.,
Satoh, S.,
Person Reidentification via Discrepancy Matrix and Matrix Metric,
Cyber(48), No. 10, October 2018, pp. 3006-3020.
IEEE DOI
1809
Measurement, Image color analysis, Cameras,
Toy manufacturing industry, Robustness, Feature extraction,
person reidentification (re-id)
BibRef
Chakraborty, A.[Anirban],
Das, A.[Abir],
Roy-Chowdhury, A.K.[Amit K.],
Network Consistent Data Association,
PAMI(38), No. 9, September 2016, pp. 1859-1871.
IEEE DOI
1609
BibRef
Earlier: A2, A1, A3:
Consistent Re-identification in a Camera Network,
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Springer DOI
1408
Dataset, Re-Identification.
WWW Link.
BibRef
Ukita, N.[Norimichi],
Moriguchi, Y.[Yusuke],
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People re-identification across non-overlapping cameras using group
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CVIU(144), No. 1, 2016, pp. 228-236.
Elsevier DOI
1604
People re-identification
BibRef
Camps, O.I.[Octavia I.],
Gou, M.,
Hebble, T.,
Karanam, S.,
Lehmann, O.,
Li, Y.,
Radke, R.J.,
Wu, Z.,
Xiong, F.,
From the Lab to the Real World: Re-identification in an Airport
Camera Network,
CirSysVideo(27), No. 3, March 2017, pp. 540-553.
IEEE DOI
1703
Airports
BibRef
Chen, Y.C.,
Zheng, W.S.,
Lai, J.H.,
Yuen, P.C.,
An Asymmetric Distance Model for Cross-View Feature Mapping in Person
Reidentification,
CirSysVideo(27), No. 8, August 2017, pp. 1661-1675.
IEEE DOI
1708
Cameras, Computer aided instruction, Feature extraction,
Histograms, Image color analysis, Lighting, Robustness,
Cross-view matching, person reidentification, visual, surveillance
BibRef
Yu, H.X.[Hong-Xing],
Wu, A.[Ancong],
Zheng, W.S.[Wei-Shi],
Unsupervised Person Re-Identification by Deep Asymmetric Metric
Embedding,
PAMI(42), No. 4, April 2020, pp. 956-973.
IEEE DOI
2003
BibRef
Earlier:
Cross-View Asymmetric Metric Learning for Unsupervised Person
Re-Identification,
ICCV17(994-1002)
IEEE DOI
1802
Measurement, Cameras, Pattern matching, Distortion,
Image color analysis, Feature extraction, Dictionaries,
deep clustering.
image matching, object detection, pattern clustering,
pedestrians, traffic engineering computing,
Training
BibRef
Meng, J.K.[Jing-Ke],
Zheng, W.S.[Wei-Shi],
Lai, J.H.[Jian-Huang],
Wang, L.[Liang],
Deep Graph Metric Learning for Weakly Supervised Person
Re-Identification,
PAMI(44), No. 10, October 2022, pp. 6074-6093.
IEEE DOI
2209
Training, Cameras, Labeling, Probes, Visualization, Annotations,
Loss measurement, Person re-identification,
visual surveillance
BibRef
Jin, Z.,
An, L.,
Bhanu, B.,
Group Structure Preserving Pedestrian Tracking in a Multicamera Video
Network,
CirSysVideo(27), No. 10, October 2017, pp. 2165-2176.
IEEE DOI
1710
Cameras, Feature extraction, Shape,
Support vector machines, Target tracking, Group structure,
multicamera, pedestrian, tracking
BibRef
Martinel, N.,
Foresti, G.L.,
Micheloni, C.,
Person Reidentification in a Distributed Camera Network Framework,
Cyber(47), No. 11, November 2017, pp. 3530-3541.
IEEE DOI
1710
Feature extraction, Measurement,
distributed camera network, person, reidentification
BibRef
Bansal, V.[Vaibhav],
Foresti, G.L.[Gian Luca],
Martinel, N.[Niki],
Where Did I See It? Object Instance Re-Identification with Attention,
DSC21(298-306)
IEEE DOI
2112
Visualization,
Transformers, Object tracking, Context modeling
BibRef
Chen, Y.C.,
Zhu, X.,
Zheng, W.S.,
Lai, J.H.,
Person Re-Identification by Camera Correlation Aware Feature
Augmentation,
PAMI(40), No. 2, February 2018, pp. 392-408.
IEEE DOI
1801
Adaptation models, Cameras, Correlation, Data models, Reliability,
Training data, Visualization, Person re-identification,
view-specific transformation
BibRef
Dai, J.[Ju],
Zhang, Y.[Ying],
Lu, H.C.[Hu-Chuan],
Wang, H.Y.[Hong-Yu],
Cross-view semantic projection learning for person re-identification,
PR(75), No. 1, 2018, pp. 63-76.
Elsevier DOI
1712
Person re-identification
BibRef
Tan, S.,
Zheng, F.,
Liu, L.,
Han, J.,
Shao, L.,
Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera
Person Reidentification,
CirSysVideo(28), No. 2, February 2018, pp. 356-363.
IEEE DOI
1802
Cameras, Feature extraction, Measurement, Probes, Robustness,
Support vector machines, Training, Dense invariant feature (DIF),
support vector ranking (SVR)
BibRef
Cho, Y.J.,
Yoon, K.J.,
PaMM: Pose-Aware Multi-Shot Matching for Improving Person
Re-Identification,
IP(27), No. 8, August 2018, pp. 3739-3752.
IEEE DOI
1806
BibRef
Earlier:
Improving Person Re-identification via Pose-Aware Multi-shot Matching,
CVPR16(1354-1362)
IEEE DOI
1612
cameras, feature extraction, image classification, image matching,
image motion analysis, pose estimation, video signal processing,
pose-aware matching method
BibRef
Liu, X.B.[Xiao-Bai],
Xu, Y.L.[Yuan-Lu],
Zhu, L.[Lei],
Mu, Y.D.[Ya-Dong],
A Stochastic Attribute Grammar for Robust Cross-View Human Tracking,
CirSysVideo(28), No. 10, October 2018, pp. 2884-2895.
IEEE DOI
1811
Cameras, Grammar, Videos, Trajectory, Stochastic processes, Lighting,
Object tracking, multi-view, video grammar
BibRef
Liang, G.,
Lan, X.,
Chen, X.,
Zheng, K.,
Wang, S.,
Zheng, N.,
Cross-View Person Identification Based on Confidence-Weighted Human
Pose Matching,
IP(28), No. 8, August 2019, pp. 3821-3835.
IEEE DOI
1907
cameras, feature extraction, pose estimation,
video signal processing, matching appearance, 3D pose estimation,
human pose matching
BibRef
Moctezuma, D.[Daniela],
Conde, C.[Cristina],
de Diego, I.M.[Isaac Martín],
Cabello, E.[Enrique],
Soft-biometrics evaluation for people re-identification in
uncontrolled multi-camera environments,
JIVP(2015), No. 1, 2015, pp. 28.
DOI Link
1509
BibRef
Moctezuma, D.[Daniela],
Tellez, E.S.[Eric S.],
Miranda-Jiménez, S.[Sabino],
Graff, M.[Mario],
Appearance model update based on online learning and soft-biometrics
traits for people re-identification in multi-camera environments,
IET-IPR(13), No. 12, October 2019, pp. 2162-2168.
DOI Link
1911
BibRef
Moctezuma, D.[Daniela],
Conde, C.[Cristina],
de Diego, I.M.[Isaac Martín],
Cabello, E.[Enrique],
Incremental Learning with Soft-Biometric Features for People
Re-Identification in Multi-Camera Environments,
DICTA13(1-7)
IEEE DOI
1402
BibRef
And:
Person Identification Based on Visual Analysis of Soft-Biometric
Features in Surveillance Environments,
IbPRIA13(664-673).
Springer DOI
1307
BibRef
Earlier:
Person detection in surveillance environment with HoGG:
Gabor filters and Histogram of Oriented Gradient,
VS11(1793-1800).
IEEE DOI
1201
biometrics (access control)
BibRef
Román, I.S.[Ignacio San],
de Diego, I.M.[Isaac Martín],
Conde, C.[Cristina],
Cabello, E.[Enrique],
Context-Aware Distance for Anomalous Human Trajectories Detection,
IbPRIA17(140-148).
Springer DOI
1706
BibRef
Niu, K.[Kai],
Huang, Y.[Yan],
Ouyang, W.L.[Wan-Li],
Wang, L.[Liang],
Improving Description-Based Person Re-Identification by
Multi-Granularity Image-Text Alignments,
IP(29), 2020, pp. 5542-5556.
IEEE DOI
2005
Task analysis, Visualization, Training, Bidirectional control,
Semantics, Footwear, Glass, step training strategy
BibRef
Wang, G.,
Yuan, Y.,
Li, J.,
Ge, S.,
Zhou, X.,
Receptive Multi-Granularity Representation for Person
Re-Identification,
IP(29), 2020, pp. 6096-6109.
IEEE DOI
2005
Feature extraction, Task analysis, Robustness, Neurons,
Machine learning, Semantics, Adaptation models,
convolutional neural networks
BibRef
Khatun, A.[Amena],
Denman, S.[Simon],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
Joint identification-verification for person re-identification: A
four stream deep learning approach with improved quartet loss
function,
CVIU(197-198), 2020, pp. 102989.
Elsevier DOI
2008
BibRef
Earlier:
Semantic Consistency and Identity Mapping Multi-Component Generative
Adversarial Network for Person Re-Identification,
WACV20(2256-2265)
IEEE DOI
2006
Person re-identification, Improved quartet loss, Quartet loss,
Triplet loss, Verification, Identification.
Semantics, Probes, Feature extraction, Cameras,
Generators, Generative adversarial networks
BibRef
Behera, N.K.S.[Nayan Kumar Subhashis],
Behera, T.K.[Tanmay Kumar],
Nappi, M.[Michele],
Bakshi, S.[Sambit],
Sa, P.K.[Pankaj Kumar],
Futuristic person re-identification over internet of biometrics
things (IoBT): Technical potential versus practical reality,
PRL(151), 2021, pp. 163-171.
Elsevier DOI
2110
Visual surveillance, Person re-identification,
Internet of things (IoT), Internet of biometric things (IoBT)
BibRef
Liu, G.Q.[Gui-Qing],
Wu, J.Z.[Jin-Zhao],
Unsupervised person re-identification by Intra-Inter Camera Affinity
Domain Adaptation,
JVCIR(80), 2021, pp. 103310.
Elsevier DOI
2110
Intra-Inter Camera Affinity Domain Adaptation, Person re-identification,
Generative adversarial learning, Affinity transfer learning
BibRef
Pang, Z.Q.[Zhi-Qi],
Guo, J.F.[Ji-Feng],
Sun, W.B.[Wen-Bo],
Li, S.[Shi],
Biclustering Collaborative Learning for Cross-Domain Person
Re-Identification,
SPLetters(28), 2021, pp. 2142-2146.
IEEE DOI
2112
Adaptation models, Feature extraction, Collaborative work, Sun,
Image coding, Generators, Forestry, Person re-identification, clustering
BibRef
Zhao, Q.[Qun],
Du, N.[Nisuo],
Ouyang, Z.[Zhi],
Kang, N.[Ning],
Liu, Z.Y.[Zi-Yan],
Wang, X.[Xu],
He, Q.[Qing],
Xu, Y.L.[Yi-Ling],
Ge, S.C.[Shi-Chun],
Song, J.K.[Jing-Kuan],
Part-level attention networks for cross-domain person
re-identification,
IET-IPR(15), No. 14, 2021, pp. 3599-3607.
DOI Link
2112
BibRef
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Yang, W.Z.[Wen-Zhong],
Wang, L.[Liejun],
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Wang, M.[Min],
Wei, F.Y.[Fu-Yuan],
KeZiErBieKe, H.[HaiLaTi],
Liao, Y.Y.[Yuan-Yuan],
Multiscale Global-Aware Channel Attention for Person
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JVCIR(90), 2023, pp. 103714.
Elsevier DOI
2301
Person re-identification, Multi-scale, Global-aware, Channel attention
BibRef
Huang, J.Z.[Jin-Ze],
Yu, X.H.[Xiao-Han],
An, D.[Dong],
Wei, Y.G.[Yao-Guang],
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Zhou, J.[Jun],
Learning consistent region features for lifelong person
re-identification,
PR(144), 2023, pp. 109837.
Elsevier DOI
2310
Person re-identification, Lifelong learning, Feature sharing
BibRef
Wu, L.Y.B.[Lin Yuan-Bo],
Liu, L.Q.[Ling-Qiao],
Wang, Y.[Yang],
Zhang, Z.[Zheng],
Boussaid, F.[Farid],
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Xie, X.H.[Xiang-Hua],
Learning Resolution-Adaptive Representations for Cross-Resolution
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IP(32), 2023, pp. 4800-4811.
IEEE DOI
2310
BibRef
Wu, A.[Ancong],
Ge, W.[Wenhang],
Zheng, W.S.[Wei-Shi],
Rewarded Semi-Supervised Re-Identification on Identities Rarely
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PAMI(45), No. 12, December 2023, pp. 15512-15529.
IEEE DOI
2311
BibRef
Zhang, H.Y.[Hao-Yu],
Liu, M.[Meng],
Li, Y.H.[Yu-Hong],
Yan, M.[Ming],
Gao, Z.[Zan],
Chang, X.J.[Xiao-Jun],
Nie, L.Q.[Li-Qiang],
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Re-Identification,
PAMI(45), No. 12, December 2023, pp. 14144-14160.
IEEE DOI
2311
BibRef
Agbodike, O.[Obinna],
Zhang, W.J.[Wei-Jin],
Chen, J.[Jenhui],
Wang, L.[Lei],
Face and body-shape integration model for cloth-changing person
re-identification,
IVC(140), 2023, pp. 104843.
Elsevier DOI
2312
Cloth-changing, CNN, Detection, Feature-mask, Person re-identification
BibRef
Tang, Z.H.[Zong-Heng],
Gao, Y.[Yulu],
Hui, T.R.[Tian-Rui],
Peng, F.G.[Feng-Guang],
Liu, S.[Si],
MI3C: Mining intra- and inter-image context for person search,
PR(148), 2024, pp. 110169.
Elsevier DOI
2402
Person-search, Person re-identification, Deep neural networks
BibRef
Liu, Z.Q.[Zheng-Qi],
Lin, Y.T.[Yu-Tian],
Liu, T.Y.[Tian-Yang],
Du, B.[Bo],
Reliable Cross-Camera Learning in Random Camera Person
Re-Identification,
CirSysVideo(34), No. 6, June 2024, pp. 4556-4567.
IEEE DOI
2406
Cameras, Pedestrians, Annotations, Training, Labeling, Task analysis,
Integrated circuits, Person re-identification, clustering
BibRef
Zhang, S.C.[Song-Chun],
Zhao, C.H.[Chun-Hui],
Cross-Video Contextual Knowledge Exploration and Exploitation for
Ambiguity Reduction in Weakly Supervised Temporal Action Localization,
CirSysVideo(34), No. 6, June 2024, pp. 4568-4580.
IEEE DOI
2406
Location awareness, Videos, Training, Representation learning,
Pipelines, Annotations, Task analysis, pseudo label
BibRef
Huang, Y.K.[Yu-Kun],
Fu, X.Y.[Xue-Yang],
Zha, Z.J.[Zheng-Jun],
Attack-Guided Perceptual Data Generation for Real-world
Re-Identification,
ICCV21(215-224)
IEEE DOI
2203
Training, Representation learning, Manifolds, Surveillance,
Training data, Lighting, Interference,
Neural generative models
BibRef
Huang, Y.C.[Yueh-Cheng],
Liu, C.W.[Chin-Wei],
Chuang, J.H.[Jen-Hui],
Using Fisheye Camera for Cost-Effective Multi-View People
Localization,
ICIP21(3248-3252)
IEEE DOI
2201
Location awareness, Image processing, Cameras, Video surveillance,
Calibration, Vanishing point, 2D/3D line sampling, Multi-camera,
Fisheye camera
BibRef
Witzig, P.[Philine],
Upenik, E.[Evgeniy],
Ebrahimi, T.[Touradj],
Open-Set Person Re-Identification Through Error Resilient Recurring
Gallery Building,
ICIP21(245-249)
IEEE DOI
2201
Measurement, Statistical analysis, Image processing, Architecture,
Buildings, Forestry, person re-identification,
deep learning
BibRef
Munir, A.[Asad],
Lyu, C.J.[Cheng-Jin],
Goossens, B.[Bart],
Philips, W.[Wilfried],
Micheloni, C.[Christian],
Resolution based Feature Distillation for Cross Resolution Person
Re-Identification,
DSC21(281-289)
IEEE DOI
2112
Degradation, Matched filters, Image resolution, Correlation,
Filtering, Cameras
BibRef
Zhang, Y.T.[Yan-Ting],
Wang, Q.X.[Qing-Xiang],
Pedestrian Tracking through Coordinated Mining of Multiple Moving
Cameras,
DSC21(252-261)
IEEE DOI
2112
Visualization, Roads, Surveillance, Machine vision,
Cameras, Sensors
BibRef
Xiang, W.M.[Wang-Meng],
Yong, H.W.[Hong-Wei],
Huang, J.Q.[Jian-Qiang],
Hua, X.S.[Xian-Sheng],
Zhang, L.[Lei],
Second-order Camera-aware Color Transformation for Cross-domain Person
Re-identification,
ACCV20(II:36-53).
Springer DOI
2103
BibRef
Yu, Y.J.[Young-Jae],
Kim, J.S.[Jong-Seok],
Yun, H.S.[Hee-Seung],
Chung, J.W.[Ji-Wan],
Kim, G.[Gunhee],
Character Grounding and Re-identification in Story of Videos and Text
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ECCV20(V:543-559).
Springer DOI
2011
BibRef
Tang, Z.[Zheng],
Naphade, M.[Milind],
Liu, M.Y.[Ming-Yu],
Yang, X.D.[Xiao-Dong],
Birchfield, S.[Stan],
Wang, S.[Shuo],
Kumar, R.[Ratnesh],
Anastasiu, D.[David],
Hwang, J.N.[Jenq-Neng],
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle
Tracking and Re-Identification,
CVPR19(8789-8798).
IEEE DOI
2002
BibRef
Malon, T.,
Chambon, S.,
Charvillat, V.,
Crouzil, A.,
Estimation of Correspondent Trajectories in Multiple Overlapping
Synchronized Videos Using Correlation of Activity Functions,
ICIP19(994-998)
IEEE DOI
1910
Trajectory reformulation, video surveillance, multiple views,
overlapping fields of view, matching
BibRef
Lin, C.,
Xie, H.,
Wang, S.,
Su, P.,
Chang, W.,
Offline automatic actor tracking in a movie,
IVCNZ17(1-5)
IEEE DOI
1902
face recognition, feature extraction, object detection,
object tracking, video signal processing, image processing,
face recognition
BibRef
Kawanishi, Y.,
Deguchi, D.,
Ide, I.,
Murase, H.,
Trajectory Ensemble: Multiple Persons Consensus Tracking Across
Non-overlapping Multiple Cameras over Randomly Dropped Camera
Networks,
Re-Id17(1471-1477)
IEEE DOI
1709
Cameras, Image edge detection, Lighting, Surveillance,
Tracking, Trajectory
BibRef
Iguernaissi, R.[Rabah],
Merad, D.[Djamal],
Drap, P.[Pierre],
People's Re-identification Across Multiple Non-overlapping Cameras by
Local Discriminative Patch Matching,
ICIAR17(190-197).
Springer DOI
1706
BibRef
Cho, Y.J.,
Park, J.H.,
Kim, S.A.,
Lee, K.,
Yoon, K.J.,
Unified Framework for Automated Person Re-identification and Camera
Network Topology Inference in Camera Networks,
HumID17(2601-2607)
IEEE DOI
1802
Cameras, Network topology, Principal component analysis,
Reliability, Topology, Uncertainty
BibRef
Zhao, C.,
Wang, X.,
Chen, Y.,
Gao, C.,
Zuo, W.,
Miao, D.,
Consistent Iterative Multi-view Transfer Learning for Person
Re-identification,
CEFR-LCV17(1087-1094)
IEEE DOI
1802
Cameras, Databases, Image reconstruction, Measurement, Robustness,
Sparse matrices, Visualization
BibRef
Mliki, H.[Hazar],
Naffeti, M.[Mariem],
Fendri, E.[Emna],
Bimodal Person Re-identification in Multi-camera System,
ACIVS17(554-565).
Springer DOI
1712
BibRef
Khan, F.M.,
Brémond, F.,
Multi-shot Person Re-Identification Using Part Appearance Mixture,
WACV17(605-614)
IEEE DOI
1609
BibRef
Earlier:
Unsupervised data association for metric learning in the context of
multi-shot person re-identification,
AVSS16(256-262)
IEEE DOI
1611
Cameras, Computational modeling, Feature extraction, Lighting,
Measurement, Probability distribution, Robustness.
Algorithm design and analysis
BibRef
Panda, R.,
Bhuiyan, A.,
Murino, V.,
Roy-Chowdhury, A.K.,
Unsupervised Adaptive Re-identification in Open World Dynamic Camera
Networks,
CVPR17(1377-1386)
IEEE DOI
1711
Adaptation models, Cameras, Inference algorithms,
Measurement, Training, Training, data
BibRef
Zheng, K.,
Fan, X.,
Lin, Y.,
Guo, H.,
Yu, H.,
Guo, D.,
Wang, S.,
Learning View-Invariant Features for Person Identification in
Temporally Synchronized Videos Taken by Wearable Cameras,
ICCV17(2877-2885)
IEEE DOI
1802
feature extraction, image motion analysis, image representation,
image sensors, image sequences,
Videos
BibRef
Zheng, K.,
Guo, H.,
Fan, X.,
Yu, H.,
Wang, S.,
Identifying Same Persons from Temporally Synchronized Videos Taken by
Multiple Wearable Cameras,
ChaLearn16(810-818)
IEEE DOI
1612
BibRef
Pot, E.,
Hori, M.,
Shimada, A.,
Nagahara, H.,
Taniguchi, R.I.,
Person re-identification visualization tool for object tracking
across non-overlapping cameras,
AVSS15(1-5)
IEEE DOI
1511
cameras
BibRef
Nguyen, N.B.[Ngoc-Bao],
Nguyen, V.H.[Vu-Hoang],
Duc, T.N.[Thanh Ngo],
Le, D.D.[Duy-Dinh],
Duong, D.A.[Duc Anh],
AttRel: An Approach to Person Re-Identification by Exploiting Attribute
Relationships,
MMMod15(II: 50-60).
Springer DOI
1501
BibRef
Le, C.Q.[Chien-Quang],
Ngo, T.D.[Thanh Duc],
Le, D.D.[Duy-Dinh],
Satoh, S.[Shin'ichi],
Duong, D.A.[Duc Anh],
Cross-View Action Recognition by Projection-Based Augmentation,
PSIVT15(215-227).
Springer DOI
1602
BibRef
Guo, C.C.[Chun-Chao],
Chen, S.Z.[Shi-Zhe],
Lai, J.H.[Jian-Huang],
Hu, X.J.[Xiao-Jun],
Shi, S.C.[Shi-Chang],
Multi-shot Person Re-identification with Automatic Ambiguity
Inference and Removal,
ICPR14(3540-3545)
IEEE DOI
1412
Cameras
BibRef
Fu, M.H.[Ming-Hang],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Chen, C.S.[Chu-Song],
Exploiting low-rank structures from cross-camera images for robust
person re-identification,
ICIP14(2427-2431)
IEEE DOI
1502
Cameras
BibRef
Krucki, K.,
Asari, V.,
Borel-Donohue, C.,
Bunker, D.,
Human re-identification in multi-camera systems,
AIPR14(1-7)
IEEE DOI
1504
image colour analysis
BibRef
Kokura, T.[Toru],
Kawanishi, Y.[Yasutomo],
Mukunoki, M.[Masayuki],
Minoh, M.[Michihiko],
Tracking Pedestrians Across Multiple Cameras via Partial Relaxation of
Spatio-Temporal Constraint and Utilization of Route Cue,
HIS14(587-601).
Springer DOI
1504
BibRef
Alavi, A.[Azadeh],
Yang, Y.[Yan],
Harandi, M.T.[Mehrtash T.],
Sanderson, C.[Conrad],
Multi-shot person re-identification via relational Stein divergence,
ICIP13(3542-3546)
IEEE DOI
1402
manifolds;person re-identification;surveillance
BibRef
Zhang, B.H.[Bei-Hua],
Cai, X.C.[Xiong-Cai],
Sowmya, A.[Arcot],
Robust human appearance matching across multi-cameras,
ICIP13(2222-2226)
IEEE DOI
1402
Multi-camera
BibRef
Li, W.[Wei],
Wang, X.G.[Xiao-Gang],
Locally Aligned Feature Transforms across Views,
CVPR13(3594-3601)
IEEE DOI
1309
BibRef
Almazan, E.J.[Emilio J.],
Jones, G.A.[Graeme A.],
Tracking People across Multiple Non-overlapping RGB-D Sensors,
CNWASA13(831-837)
IEEE DOI
1309
BibRef
Huang, C.H.[Chun-Hao],
Yeh, Y.R.[Yi-Ren],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Recognizing Actions across Cameras by Exploring the Correlated Subspace,
VECTaR12(I: 342-351).
Springer DOI
1210
BibRef
Schrader, S.,
Dambek, M.,
Block, A.,
Brending, S.,
Nakath, D.,
Schmid, F.,
van de Ven, J.,
A distributed online learning tracking algorithm,
ICARCV12(1083-1088).
IEEE DOI
1304
track people across multiple cameras.
BibRef
Figueira, D.,
Bazzani, L.,
Minh, H.Q.[Ha Quang],
Cristani, M.,
Bernardino, A.,
Murino, V.,
Semi-supervised multi-feature learning for person re-identification,
AVSS13(111-116)
IEEE DOI
1311
image classification
BibRef
Figueira, D.[Dario],
Bernardino, A.[Alexandre],
Re-identification of Visual Targets in Camera Networks: A Comparison of
Techniques,
ICIAR11(I: 294-303).
Springer DOI
1106
BibRef
Poletti, S.J.[Sylvie Jasmine],
Murino, V.[Vittorio],
Cristani, M.[Marco],
SDALF+C: Augmenting the SDALF Descriptor by Relation-Based Information
for Multi-shot Re-identification,
CIARP13(II:423-430).
Springer DOI
1311
BibRef
Bialkowski, A.,
Denman, S.,
Sridharan, S.,
Fookes, C.,
Lucey, P.,
A Database for Person Re-Identification in Multi-Camera Surveillance
Networks,
DICTA12(1-8).
IEEE DOI
1303
Dataset, Re-Identification.
BibRef
Khatun, A.,
Denman, S.,
Sridharan, S.,
Fookes, C.,
A Deep Four-Stream Siamese Convolutional Neural Network with Joint
Verification and Identification Loss for Person Re-Detection,
WACV18(1292-1301)
IEEE DOI
1806
convolution, feedforward neural nets, image matching,
learning (artificial intelligence),
Training
BibRef
Kai, J.L.[Jung-Ling],
Bodensteiner, C.[Christoph],
Arens, M.[Michael],
Person re-identification in multi-camera networks,
CNWASA11(55-61).
IEEE DOI
1106
BibRef
Meden, B.[Boris],
Lerasle, F.[Frédéric],
Sayd, P.[Patrick],
MCMC Supervision for People Re-identification in Nonoverlapping Cameras,
BMVC12(66).
DOI Link
1301
BibRef
Earlier: A1, A3, A2:
Mixed-State Particle Filtering for Simultaneous Tracking and
Re-identification in Non-overlapping Camera Networks,
SCIA11(124-133).
Springer DOI
1105
BibRef
Hirzer, M.[Martin],
Beleznai, C.[Csaba],
Kostinger, M.[Martin],
Roth, P.M.[Peter M.],
Bischof, H.[Horst],
Dense appearance modeling and efficient learning of camera transitions
for person re-identification,
ICIP12(1617-1620).
IEEE DOI
1302
BibRef
Takala, V.[Valtteri],
Pietikainen, M.[Matti],
CMV100: A dataset for people tracking and re-identification in sparse
camera networks,
ICPR12(1387-1390).
WWW Link.
1302
BibRef
d'Orazio, T.,
Cicirelli, G.,
People re-identification and tracking from multiple cameras: A review,
ICIP12(1601-1604).
IEEE DOI
1302
BibRef
Sherrah, J.[Jamie],
Ristic, B.[Branko],
Kamenetsky, D.,
A Pedestrian Multiple Hypothesis Tracker Fusing Head and Body
Detections,
DICTA13(1-8)
IEEE DOI
1402
image fusion
See also Aerial Car Detection and Urban Understanding.
BibRef
Sherrah, J.,
Kamenetsky, D.,
Whatmough, R.,
Redding, N.J.[Nicholas J.],
Online Tracking of People through a Camera Network,
DICTA11(579-584).
IEEE DOI
1205
See also Particle filter to track multiple people for visual surveillance.
BibRef
Redding, N.J.,
Ohmer, J.F.,
Kelly, J.,
Cooke, T.,
Cross-Matching via Feature Matching for Camera Handover with
Non-overlapping Fields of View,
DICTA08(343-350).
IEEE DOI
0812
BibRef
Aziz, K.E.,
Merad, D.,
Fertil, B.,
People re-identification across multiple non-overlapping cameras system
by appearance classification and silhouette part segmentation,
AVSBS11(303-308).
IEEE DOI
1111
BibRef
Branzan Albu, A.[Alexandra],
Laurendeau, D.[Denis],
Comtois, S.[Sylvain],
Ouellet, D.[Denis],
Hebert, P.[Patrick],
Zaccarin, A.[Andre],
Parizeau, M.[Marc],
Bergevin, R.[Robert],
Maldague, X.[Xavier],
Drouin, R.[Richard],
Drouin, S.[Stephane],
Martel-Brisson, N.[Nicolas],
Jean, F.[Frederic],
Torresan, H.[Helene],
Gagnon, L.[Langis],
Laliberte, F.[France],
MONNET: Monitoring Pedestrians with a Network of Loosely-Coupled
Cameras,
ICPR06(IV: 924-928).
IEEE DOI
0609
BibRef
Javed, O.[Omar],
Shafique, K.[Khurram],
Shah, M.[Mubarak],
Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras,
CVPR05(II: 26-33).
IEEE DOI
0507
BibRef
Batista, J.P.[Jorge P.],
Tracking Pedestrians Under Occlusion Using Multiple Cameras,
ICIAR04(II: 552-562).
Springer DOI
0409
BibRef
Javed, O.,
Rasheed, Z.,
Shafique, K.,
Shah, M.[Mubarak],
Tracking across multiple cameras with disjoint views,
ICCV03(952-957).
IEEE DOI
0311
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Multi-Modal Re-Identification, Multi-Modal Human Tracking .