Zhao, H.J.[Hui-Jing],
Shibasaki, R.[Ryosuke],
A Novel System for Tracking Pedestrians Using Multiple Single-Row
Laser-Range Scanners,
SMC-A(35), No. 2, March 2005, pp. 283-291.
IEEE Abstract.
0501
BibRef
Earlier:
A Real-Time System for Monitoring Pedestrians,
WACV05(I: 378-385).
IEEE DOI
0502
BibRef
Cui, J.S.[Jin-Shi],
Zha, H.B.[Hong-Bin],
Zhao, H.J.[Hui-Jing],
Shibasaki, R.[Ryosuke],
Laser-based detection and tracking of multiple people in crowds,
CVIU(106), No. 2-3, May-June 2007, pp. 300-312.
Elsevier DOI
0705
BibRef
Earlier:
Robust Tracking of Multiple People in Crowds Using Laser Range Scanners,
ICPR06(IV: 857-860).
IEEE DOI
0609
People detection; People tracking; Laser scanner;
Accumulated distribution; RBMC-DAF
BibRef
Cui, J.S.[Jin-Shi],
Zha, H.B.[Hong-Bin],
Zhao, H.J.[Hui-Jing],
Shibasaki, R.[Ryosuke],
Multi-modal tracking of people using laser scanners and video camera,
IVC(26), No. 2, 1 February 2008, pp. 240-252.
Elsevier DOI
0711
BibRef
Earlier: A1, A3, A4:
Fusion of Detection and Matching Based Approaches for Laser Based
Multiple People Tracking,
CVPR06(I: 642-649).
IEEE DOI
0606
Multi-modal; Multiple people tracking; Laser scanner; Video camera;
Surveillance
BibRef
Munoz-Salinas, R.[Rafael],
Garcia-Silvente, M.[Miguel],
Carnicer, R.M.[Rafael Medina],
Adaptive multi-modal stereo people tracking without background
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JVCIR(19), No. 2, February 2008, pp. 75-91.
Elsevier DOI
0711
People tracking; Stereo vision; Particle filtering; Real-time imaging;
Confidence measure; Colour processing
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Munoz-Salinas, R.[Rafael],
Aguirre, E.[Eugenio],
Garcia-Silvente, M.[Miguel],
Gonzalez, A.[Antonio],
A multiple object tracking approach that combines colour and depth
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PRL(29), No. 10, 15 July 2008, pp. 1504-1514.
Elsevier DOI
0711
Multiple particle filtering; Stereo vision; Colour processing;
Mean-shift; Condensation algorithm; Confidence measure
BibRef
Munoz-Salinas, R.[Rafael],
A Bayesian plan-view map based approach for multiple-person detection
and tracking,
PR(41), No. 12, December 2008, pp. 3665-3676.
Elsevier DOI
0810
Person tracking; Stereo vision; Plan-view maps; Particle filtering;
Colour processing; Condensation algorithm
BibRef
Munoz-Salinas, R.[Rafael],
Medina-Carnicer, R.,
Madrid-Cuevas, F.J.,
Carmona-Poyato, A.,
People detection and tracking with multiple stereo cameras using
particle filters,
JVCIR(20), No. 5, July 2009, pp. 339-350.
Elsevier DOI
0905
Plan-view maps; Stereo vision; Person tracking; Particle filtering;
Colour processing; Condensation algorithm; Person detection; Gesture
recognition
BibRef
Munoz-Salinas, R.[Rafael],
Medina-Carnicer, R.,
Madrid-Cuevas, F.J.,
Carmona-Poyato, A.,
Particle filtering with multiple and heterogeneous cameras,
PR(43), No. 7, July 2010, pp. 2390-2405.
Elsevier DOI
1003
People tracking; Stereo vision; Particle filters; Multiple-views
BibRef
Germa, T.,
Lerasle, F.,
Ouadah, N.,
Cadenat, V.,
Vision and RFID data fusion for tracking people in crowds by a mobile
robot,
CVIU(114), No. 6, June 2010, pp. 641-651.
Elsevier DOI
1006
Radio frequency ID; Multimodal data fusion; Particle filtering; Person
tracking; Person following; Multi-sensor fusion; Human visual servoing
BibRef
Yang, M.T.[Mau-Tsuen],
Wang, S.C.[Shih-Chun],
Lin, Y.Y.[Yong-Yuan],
A multimodal fusion system for people detection and tracking,
IJIST(15), No. 2, 2005, pp. 131-142.
DOI Link
0507
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
Ren, L.L.[Liang-Liang],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Uniform and Variational Deep Learning for RGB-D Object Recognition
and Person Re-Identification,
IP(28), No. 10, October 2019, pp. 4970-4983.
IEEE DOI
1909
convolutional neural nets, feature extraction,
image classification, image colour analysis, image recognition,
multi-modal learning
BibRef
Wang, S.K.[Sheng-Ke],
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.K.[Sheng-Ke],
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
Zhao, Y.B.[Yun-Bo],
Lin, J.W.[Jian-Wu],
Xuan, Q.[Qi],
Xi, X.G.[Xu-Gang],
HPILN: a feature learning framework for cross-modality person
re-identification,
IET-IPR(13), No. 14, 12 December 2019, pp. 2897-2904.
DOI Link
1912
BibRef
Ye, M.[Mang],
Lan, X.Y.[Xiang-Yuan],
Leng, Q.M.[Qing-Ming],
Shen, J.B.[Jian-Bing],
Cross-Modality Person Re-Identification via Modality-Aware
Collaborative Ensemble Learning,
IP(29), 2020, pp. 9387-9399.
IEEE DOI
1806
Cameras, Task analysis, Collaboration, Learning systems,
Visualization, Face recognition, Collaborative work,
collaborative ensemble learning
BibRef
Hao, X.[Xin],
Zhao, S.Y.[San-Yuan],
Ye, M.[Mang],
Shen, J.B.[Jian-Bing],
Cross-Modality Person Re-Identification via Modality Confusion and
Center Aggregation,
ICCV21(16383-16392)
IEEE DOI
2203
Learning systems, Feature extraction, Cameras, Task analysis,
Optimization, Scene analysis and understanding, Recognition and classification
BibRef
Xie, Z.W.[Zhong-Wei],
Li, L.[Lin],
Zhong, X.[Xian],
Zhong, L.[Luo],
Xiang, J.W.[Jian-Wen],
Image-to-video person re-identification with cross-modal embeddings,
PRL(133), 2020, pp. 70-76.
Elsevier DOI
2005
Person re-identification, Model transfer, Verification-identification
BibRef
Wang, F.Y.[Feng-Yuan],
Zhang, C.[Chi],
Chen, S.H.[Sheng-Hui],
Ying, G.[Guode],
Lv, J.H.[Jian-Hua],
Engineering Hand-designed and Deeply-learned features for person
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PRL(130), 2020, pp. 293-298.
Elsevier DOI
2002
Deep feature, Hand-crafted, Multimodal feature fusion, Person re-identification
BibRef
Zhang, P.,
Xu, J.,
Wu, Q.,
Huang, Y.,
Zhang, J.,
Top-Push Constrained Modality-Adaptive Dictionary Learning for
Cross-Modality Person Re-Identification,
CirSysVideo(30), No. 12, December 2020, pp. 4554-4566.
IEEE DOI
2012
Cameras, Machine learning, Dictionaries, Sensors, Image sensors,
Measurement, Training, Cross-modality person re-identification,
domain adaptation
BibRef
Zheng, A.[Aihua],
Li, H.C.[Hong-Chao],
Jiang, B.[Bo],
Zheng, W.S.[Wei-Shi],
Luo, B.[Bin],
Joint graph regularized dictionary learning and sparse ranking for
multi-modal multi-shot person re-identification,
PR(104), 2020, pp. 107352.
Elsevier DOI
2005
Person re-identification, Sparse ranking, Joint graph regularization
BibRef
Ma, T.H.[Ting-Huai],
Yang, M.M.[Ming-Ming],
Rong, H.[Huan],
Qian, Y.R.[Yu-Rong],
Tian, Y.[Yuan],
Al-Nabhan, N.[Najla],
Dual-path CNN with Max Gated block for text-based person
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IVC(111), 2021, pp. 104168.
Elsevier DOI
2106
Cross-modal matching, Person re-identification, Dual-path CNN, Word embedding
BibRef
Feng, Y.J.[Yu-Jian],
Xu, J.[Jing],
Ji, Y.M.[Yi-Mu],
Wu, F.[Fei],
LLM: Learning Cross-Modality Person Re-Identification via Low-Rank
Local Matching,
SPLetters(28), 2021, pp. 1789-1793.
IEEE DOI
2109
Feature extraction, Correlation, Telecommunications,
Streaming media, Loss measurement, Thermal expansion,
metric learning
BibRef
Zhang, Q.[Quan],
Lai, J.H.[Jian-Huang],
Xie, X.H.[Xiao-Hua],
Learning Modal-Invariant Angular Metric by Cyclic Projection Network
for VIS-NIR Person Re-Identification,
IP(30), 2021, pp. 8019-8033.
IEEE DOI
2109
Measurement, Feature extraction, Extraterrestrial measurements,
Task analysis, Euclidean distance, Lighting, Computer science,
metric learning
BibRef
Zhang, S.Z.[Shi-Zhou],
Yang, Y.F.[Yi-Fei],
Wang, P.[Peng],
Liang, G.Q.[Guo-Qiang],
Zhang, X.W.[Xiu-Wei],
Zhang, Y.N.[Yan-Ning],
Attend to the Difference:
Cross-Modality Person Re-Identification via Contrastive Correlation,
IP(30), 2021, pp. 8861-8872.
IEEE DOI
2111
Feature extraction, Correlation, Kernel, Convolution,
Tensors, Task analysis, Cross-modality, contrastive correlation
BibRef
Zhuang, Z.J.[Zi-Jie],
Wei, L.H.[Long-Hui],
Xie, L.X.[Ling-Xi],
Ai, H.Z.[Hai-Zhou],
Tian, Q.[Qi],
Camera-Based Batch Normalization: An Effective Distribution Alignment
Method for Person Re-Identification,
CirSysVideo(32), No. 1, January 2022, pp. 374-387.
IEEE DOI
2201
Cameras, Task analysis, Training, Annotations, Testing, Visualization,
Feature extraction, Person re-identification, distribution gap,
cross-modality tasks
BibRef
Zhuang, Z.J.[Zi-Jie],
Wei, L.H.[Long-Hui],
Xie, L.X.[Ling-Xi],
Zhang, T.Y.[Tian-Yu],
Zhang, H.H.[Heng-Heng],
Wu, H.Z.[Hao-Zhe],
Ai, H.Z.[Hai-Zhou],
Tian, Q.[Qi],
Rethinking the Distribution Gap of Person Re-identification with
Camera-Based Batch Normalization,
ECCV20(XII: 140-157).
Springer DOI
2010
BibRef
Huang, N.Z.[Nian-Zchang],
Liu, K.L.[Kun-Long],
Liu, Y.[Yang],
Zhang, Q.[Qiang],
Han, J.G.[Jun-Gong],
Cross-modality person re-identification via multi-task learning,
PR(128), 2022, pp. 108653.
Elsevier DOI
2205
Cross-modality person re-identification,
Person body information, Multi-task learning
BibRef
Hafner, F.M.[Frank M.],
Bhuyian, A.[Amran],
Kooij, J.F.P.[Julian F.P.],
Granger, E.[Eric],
Cross-modal distillation for RGB-depth person re-identification,
CVIU(216), 2022, pp. 103352.
Elsevier DOI
2202
Person re-identification, Cross-modal, Neural Networks,
Knowledge Distillation, GDPR
BibRef
Liu, Y.H.[Yi-Heng],
Zhou, W.G.[Wen-Gang],
Xi, M.[Mao],
Shen, S.J.[San-Jing],
Li, H.Q.[Hou-Qiang],
Multi-Modal Context Propagation for Person Re-Identification With
Wireless Positioning,
MultMed(24), 2022, pp. 3060-3073.
IEEE DOI
2206
Wireless communication, Visualization, Wireless sensor networks,
Trajectory, Video sequences, Wireless fidelity, Cameras,
unsupervised cross-domain learning
BibRef
Zhang, D.[Demao],
Zhang, Z.Z.[Zhi-Zhong],
Ju, Y.[Ying],
Wang, C.[Cong],
Xie, Y.[Yuan],
Qu, Y.Y.[Yan-Yun],
Dual Mutual Learning for Cross-Modality Person Re-Identification,
CirSysVideo(32), No. 8, August 2022, pp. 5361-5373.
IEEE DOI
2208
Training, Task analysis, Surveillance, Sensors,
Representation learning, Knowledge engineering,
attention alignment
BibRef
Zhang, Z.[Zhong],
Dong, Q.[Qing],
Wang, S.[Sen],
Liu, S.[Shuang],
Xiao, B.H.[Bai-Hua],
Durrani, T.S.[Tariq S.],
Cross-modality person re-identification using hybrid mutual learning,
IET-CV(17), No. 1, 2023, pp. 1-12.
DOI Link
2303
BibRef
He, D.[Di],
Zhang, J.R.[Jing-Rui],
Zhang, Z.[Zhong],
Liu, S.[Shuang],
Durrani, T.S.[Tariq S.],
Integration graph attention network and multi-centre constrained loss
for cross-modality person re-identification,
IET-CV(17), No. 1, 2023, pp. 76-87.
DOI Link
2303
BibRef
And:
Erratum:
IET-CV(17), No. 6, 2023, pp. 722-722.
DOI Link
2310
BibRef
Liu, Q.[Qiang],
He, X.H.[Xiao-Hai],
Teng, Q.Z.[Qi-Zhi],
Qing, L.[Linbo],
Chen, H.G.[Hong-Gang],
BDNet: A BERT-based dual-path network for text-to-image cross-modal
person re-identification,
PR(141), 2023, pp. 109636.
Elsevier DOI
2306
Person re-identification, Image-text retrieval, Cross-modality, Attention
BibRef
Wang, W.[Wen],
An, G.[Gaoyun],
Ruan, Q.Q.[Qiu-Qi],
A dual-modal graph attention interaction network for person
Re-identification,
IET-CV(17), No. 6, 2023, pp. 687-699.
DOI Link
2310
learning (artificial intelligence)
BibRef
Huang, N.C.[Nian-Chang],
Liu, J.A.[Jian-An],
Luo, Y.J.[Yong-Jiang],
Zhang, Q.[Qiang],
Han, J.G.[Jun-Gong],
Exploring modality-shared appearance features and modality-invariant
relation features for cross-modality person Re-IDentification,
PR(135), 2023, pp. 109145.
Elsevier DOI
2212
Cross-modality person Re-IDentification, Visible images,
Thermal infrared images, Modality-shared appearance features,
Modality-invariant relation features
BibRef
Yang, B.[Bin],
Chen, J.[Jun],
Ma, X.Z.[Xian-Zheng],
Ye, M.[Mang],
Translation, Association and Augmentation: Learning Cross-Modality
Re-Identification From Single-Modality Annotation,
IP(32), 2023, pp. 5099-5113.
IEEE DOI
2310
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Hambarde, K.[Kailash],
Proença, H.[Hugo],
Image-based human re-identification:
Which covariates are actually (the most) important?,
IVC(143), 2024, pp. 104917.
Elsevier DOI
2403
Human re-identification, Performance covariates, Biometric menagerie
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Liu, J.L.[Jia-Lun],
Sun, Y.F.[Yi-Fan],
Zhu, F.[Feng],
Pei, H.B.[Hong-Bin],
Yang, Y.[Yi],
Li, W.H.[Wen-Hui],
Learning Memory-Augmented Unidirectional Metrics for Cross-modality
Person Re-identification,
CVPR22(19344-19353)
IEEE DOI
2210
Measurement, Learning systems, Training, Representation learning,
System performance, Scalability, Representation learning, proof-of-work
BibRef
Jiang, N.[Na],
Wang, Z.F.[Zhao-Fa],
Xu, P.[Peng],
Wu, X.Y.[Xin-Yue],
Zhang, L.[Lei],
Rethinking Shared Features and Re-ranking for Cross-Modality Person
Re-identification,
MMMod22(II:305-317).
Springer DOI
2203
BibRef
Tian, X.D.[Xu-Dong],
Zhang, Z.Z.[Zhi-Zhong],
Lin, S.H.[Shao-Hui],
Qu, Y.Y.[Yan-Yun],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
Farewell to Mutual Information: Variational Distillation for
Cross-Modal Person Re-Identification,
CVPR21(1522-1531)
IEEE DOI
2111
Training, Correlation, Fitting, Redundancy, Estimation,
Robustness, Pattern recognition
BibRef
Lu, Y.,
Wu, Y.,
Liu, B.,
Zhang, T.,
Li, B.,
Chu, Q.,
Yu, N.,
Cross-Modality Person Re-Identification With Shared-Specific Feature
Transfer,
CVPR20(13376-13386)
IEEE DOI
2008
Feature extraction, Learning systems, Cameras,
Image color analysis, Measurement, Streaming media
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Tekeli, N.,
Can, A.B.,
Distance Based Training for Cross-Modality Person Re-Identification,
CroMoL19(4540-4549)
IEEE DOI
2004
convolutional neural nets, feature extraction,
learning (artificial intelligence), distance based training, IR,
thermal
BibRef
Yu, X.J.[Xiao-Jing],
Chen, T.L.[Tian-Long],
Yang, Y.[Yang],
Mugo, M.[Michael],
Wang, Z.Y.[Zhang-Yang],
Cross-Modal Person Search: A Coarse-to-Fine Framework using
Bi-Directional Text-Image Matching,
WIDER19(1799-1804)
IEEE DOI
2004
image matching, image retrieval, natural language processing,
text analysis, cross-modal person search, person images, Person Search
BibRef
Lejbřlle, 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
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Belmonte-Hernández, A.,
Solachidis, V.,
Theodoridis, T.,
Hernández-Peńaloza, G.,
Conti, G.,
Vretos, N.,
Álvarez, F.,
Daras, P.,
Person tracking association using multi-modal systems,
AVSS17(1-6)
IEEE DOI
1806
calibration, feature extraction, image matching, image sensors,
object tracking, sensors, Kinect skeleton, Kinect v2 device, Wrist
BibRef
Liu, K.[Kai],
Zhao, Z.C.[Zhi-Cheng],
Guo, X.[Xin],
Cai, A.N.[An-Ni],
Anchor-supported multi-modality hashing embedding for person
re-identification,
VCIP13(1-6)
IEEE DOI
1402
cameras
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Havasi, L.[Laszlo],
Szlavik, Z.[Zoltan],
A method for object localization in a multiview multimodal camera
system,
OTCBVS11(96-103).
IEEE DOI
1106
BibRef
Earlier:
A statistical method for object localization in multi-camera tracking,
ICIP10(3925-3928).
IEEE DOI
1009
BibRef
Earlier:
Using location and motion statistics for the localization of moving
objects in multiple camera surveillance videos,
VS09(1275-1281).
IEEE DOI
0910
BibRef
Schauerte, B.,
Plötz, T.,
Fink, G.A.[Gernot A.],
A Multi-modal Attention System for Smart Environments,
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Springer DOI
0910
BibRef
Nayak, J.[Jayanth],
Gonzalez-Argueta, L.[Luis],
Song, B.[Bi],
Roy-Chowdhury, A.K.[Amit K.],
Tuncel, E.[Ertem],
Multi-target tracking through opportunistic camera control in a
resource constrained multimodal sensor network,
ICDSC08(1-10).
IEEE DOI
0809
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Visible-Infrared Re-Identification, RGB-IR .