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Sports?
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Activity recognition; Motion trajectories; Motion tracking; Motion
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Earlier: A2, A1:
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LTDT14(714-715)
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1409
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Earlier: A1, A2:
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WACV14(761-768)
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Cameras; Color; Context;Histograms; Image color analysis; Target tracking
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Multiple measurements for target. High level target position and shape,
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Multiple people tracking; Pose estimation; Occlusion estimation
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Earlier: A1, A2, Only:
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gradient methods
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Bayes methods
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1410
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Earlier: A1, A2, Only:
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1008
feature extraction
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Earlier: A1, A2, A3, A5, Only:
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Pedestrian detection
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1509
image sequences
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McLaughlin, N.[Niall],
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1506
BibRef
Earlier:
Enhancing Linear Programming with Motion Modeling for Multi-target
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WACV15(71-77)
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Earlier:
Online multiperson tracking with occlusion reasoning and unsupervised
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Cost function.
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Computational modeling
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AVSS15(1-6)
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Multi-person tracking
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1611
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Superpixels
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PETS13(22-28)
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hypergraphs; multi-object; multi-view; surveillance; tracking
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Dense spatio-temporal motion segmentation for tracking multiple
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1006
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Wang, B.[Bing],
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BibRef
Earlier:
Tracklet Association with Online Target-Specific Metric Learning,
CVPR14(1234-1241)
IEEE DOI
1409
Dynamics.
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Das, A.[Abir],
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1702
BibRef
Earlier:
Active image pair selection for continuous person re-identification,
ICIP15(4263-4267)
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Redundancy reduction.
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Ma, X.L.[Xiao-Long],
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Person re-identification
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Linear discriminant analysis
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BibRef
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Particle dynamics and multi-channel feature dictionaries for robust
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Person re-identification
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Madrigal, F.[Francisco],
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Earlier: A1, A3, A2:
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See also Evaluation of multiple motion models for multiple pedestrian visual tracking.
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Madrigal, F.[Francisco],
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BibRef
Earlier:
Evaluation of multiple motion models for multiple pedestrian visual
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AVSS13(31-36)
IEEE DOI
1311
BibRef
Earlier:
Multiple view, multiple target tracking with principal axis-based data
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AVSBS11(185-190).
IEEE DOI
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Bayes methods
See also Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking.
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Jia, J.[Jieru],
Ruan, Q.Q.[Qiu-Qi],
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Person re-identification
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Zhao, C.R.[Cai-Rong],
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Person, re-identification
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Zhu, X.,
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1804
image matching, image representation,
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open search space
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Zhang, Z.Y.[Zong-Yan],
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Lai, Z.H.[Zhi-Hui],
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Saliency-Based Person Re-identification by Probability Histogram,
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BibRef
Wu, L.[Lin],
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Deep adaptive feature embedding with local sample distributions for
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1709
Deep feature embedding
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Wu, L.[Lin],
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Structured deep hashing with convolutional neural networks for fast
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Person re-identification, Convolutional neural networks,
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Wu, L.[Lin],
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What-and-where to match: Deep spatially multiplicative integration
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1801
Multiplicative integration gating
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Li, S.Q.[Shuang-Qun],
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Zhao, Z.C.[Zhi-Cheng],
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Person re-identification via integrating patch-based metric learning
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1712
Person re-identification
BibRef
Ren, Y.T.[Yu-Tao],
Li, X.L.[Xue-Long],
Lu, X.Q.[Xiao-Qiang],
Feedback mechanism based iterative metric learning for person
re-identification,
PR(75), No. 1, 2018, pp. 99-111.
Elsevier DOI
1712
Person re-identification
BibRef
Jiang, Z.Q.[Zheng-Qiang],
Huynh, D.Q.[Du Q.],
Multiple Pedestrian Tracking From Monocular Videos in an Interacting
Multiple Model Framework,
IP(27), No. 3, March 2018, pp. 1361-1375.
IEEE DOI
1801
Adaptation models, Computational modeling, Histograms,
Image color analysis, Target tracking, Videos, Munkres' algorithm,
visual tracking
BibRef
Jiang, Z.Q.[Zheng-Qiang],
Huynh, D.Q.[Du Q.],
Moran, W.[William],
Challa, S.[Subhash],
Spadaccini, N.[Nick],
Multiple Pedestrian Tracking Using Colour and Motion Models,
DICTA10(328-334).
IEEE DOI
1012
BibRef
Jiang, Z.Q.[Zheng-Qiang],
Huynh, D.Q.[Du Q.],
Moran, W.[William],
Challa, S.[Subhash],
Tracking pedestrians using smoothed colour histograms in an interacting
multiple model framework,
ICIP11(2313-2316).
IEEE DOI
1201
BibRef
Zhou, S.,
Wang, J.,
Shi, R.,
Hou, Q.,
Gong, Y.,
Zheng, N.,
Large Margin Learning in Set-to-Set Similarity Comparison for Person
Reidentification,
MultMed(20), No. 3, March 2018, pp. 593-604.
IEEE DOI
1802
Cameras, Feature extraction, Learning systems, Machine learning,
Measurement, Neural networks, Robustness, Person re-identification,
set to set similarity comparison
BibRef
Lejbølle, A.R.[Aske R.],
Nasrollahi, K.[Kamal],
Moeslund, T.B.[Thomas B.],
Enhancing person re-identification by late fusion of low-, mid- and
high-level features,
IET-Bio(7), No. 2, March 2018, pp. 125-135.
DOI Link
1802
BibRef
Barbosa, I.B.[Igor Barros],
Cristani, M.[Marco],
Caputo, B.[Barbara],
Rognhaugen, A.[Aleksander],
Theoharis, T.[Theoharis],
Looking beyond appearances: Synthetic training data for deep CNNs in
re-identification,
CVIU(167), 2018, pp. 50-62.
Elsevier DOI
1804
Re-identification, Deep learning, Training set,
Automated training dataset generation, Re-identification photorealistic dataset
BibRef
Tian, Y.[Ying],
Zeng, M.Y.[Ming-Yong],
Lu, A.[AiHong],
Gao, B.[Bin],
Luo, Z.K.[Zhang-Kai],
Improving Person Re-Identification by Efficient Pairwise-Specific CRC
Coding in the XQDA Subspace,
IEICE(E101-D), No. 4, April 2018, pp. 1209-1212.
WWW Link.
1804
BibRef
Feng, Z.,
Lai, J.,
Xie, X.,
Learning View-Specific Deep Networks for Person Re-Identification,
IP(27), No. 7, July 2018, pp. 3472-3483.
IEEE DOI
1805
Benchmark testing, Cameras, Computational modeling, Dictionaries,
Feature extraction, Machine learning, Measurement,
view-specific deep networks
BibRef
Chen, Y.[Ying],
Yuan, J.[Jin],
Li, Z.Y.[Zhi-Yong],
Wu, Y.Q.[Yi-Qiang],
Nouioua, M.[Mourad],
Xie, G.[Guoqi],
Person re-identification based on re-ranking with expanded
k-reciprocal nearest neighbors,
JVCIR(58), 2019, pp. 486-494.
Elsevier DOI
1901
Person re-identification, Re-ranking,
Expanded k-reciprocal neighbors, Rank list similarity
BibRef
Babaee, M.,
Li, Z.,
Rigoll, G.,
Occlusion Handling in Tracking Multiple People Using RNN,
ICIP18(2715-2719)
IEEE DOI
1809
Target tracking, Training, Legged locomotion, Trajectory,
Video sequences, Tracking, Motion, Occlusion, RNN, Deep learning
BibRef
Huang, Z.X.[Zeng-Xi],
Feng, Z.H.[Zhen-Hua],
Yan, F.[Fei],
Kittler, J.[Josef],
Wu, X.J.[Xiao-Jun],
Robust Pedestrian Detection for Semi-automatic Construction of a
Crowded Person Re-Identification Dataset,
AMDO18(63-72).
Springer DOI
1807
BibRef
Zhang, P.[Peng],
Wu, Q.[Qiang],
Xu, J.S.[Jing-Song],
Zhang, J.[Jian],
Long-Term Person Re-identification Using True Motion from Videos,
WACV18(494-502)
IEEE DOI
1806
feature extraction, image coding, image matching,
image motion analysis, image representation, image sequences,
Videos
BibRef
Wojke, N.,
Bewley, A.,
Deep Cosine Metric Learning for Person Re-identification,
WACV18(748-756)
IEEE DOI
1806
feature extraction, image classification,
learning (artificial intelligence), query processing, vectors,
Trajectory
BibRef
Ustinova, E.,
Ganin, Y.,
Lempitsky, V.,
Multi-Region bilinear convolutional neural networks for person
re-identification,
AVSS17(1-6)
IEEE DOI
1806
convolution, image classification, image matching, neural nets,
bilinear pooling, bilinear-CNN architecture,
Streaming media
BibRef
Zhang, K.X.[Kai-Xuan],
Xu, Y.[Yang],
Sun, L.[Li],
Qiu, S.[Song],
Li, Q.L.[Qing-Li],
Person Re-id by Incorporating PCA Loss in CNN,
MMMod18(II:200-212).
Springer DOI
1802
BibRef
Peralta, B.[Billy],
Caro, L.[Luis],
Soto, A.[Alvaro],
Unsupervised Local Regressive Attributes for Pedestrian
Re-identification,
CIARP17(517-524).
Springer DOI
1802
BibRef
Earlier: A1, A3, Only:
Multi-target Tracking with Sparse Group Features and Position Using
Discrete-Continuous Optimization,
HIS14(680-694).
Springer DOI
1504
BibRef
Lisanti, G.,
Martinel, N.,
Bimbo, A.D.,
Foresti, G.L.,
Group Re-identification via Unsupervised Transfer of Sparse Features
Encoding,
ICCV17(2468-2477)
IEEE DOI
1802
feature extraction, group theory, image coding, image matching,
image representation, image sensors, unsupervised learning, Re,
Visualization
BibRef
Chahar, H.[Harendra],
Nain, N.[Neeta],
A Study on Deep Convolutional Neural Network Based Approaches for
Person Re-identification,
PReMI17(543-548).
Springer DOI
1711
BibRef
Xu, X.,
Ma, B.P.[Bing-Peng],
Chang, H.[Hong],
Chen, X.L.[Xi-Lin],
Siamese recurrent architecture for visual tracking,
ICIP17(1152-1156)
IEEE DOI
1803
Computer architecture, Recurrent neural networks,
Target tracking, Training, Videos, Visualization,
visual tracking
BibRef
Deng, X.S.[Xue-Song],
Ma, B.P.[Bing-Peng],
Chang, H.[Hong],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Deep Second-Order Siamese Network for Pedestrian Re-identification,
ACCV16(II: 321-337).
Springer DOI
1704
BibRef
Xu, B.[Bolei],
Qiu, G.P.[Guo-Ping],
Unsupervised Person Re-identification via Graph-Structured Image
Matching,
HIS16(III: 301-314).
Springer DOI
1704
BibRef
Zhang, S.[Shun],
Gong, Y.H.[Yi-Hong],
Huang, J.B.[Jia-Bin],
Lim, J.W.[Jong-Woo],
Wang, J.[Jinjun],
Ahuja, N.[Narendra],
Yang, M.H.[Ming-Hsuan],
Tracking Persons-of-Interest via Adaptive Discriminative Features,
ECCV16(V: 415-433).
Springer DOI
1611
BibRef
Huynh, X.P.[Xuan-Phung],
Choi, I.H.[In-Ho],
Kim, Y.G.[Yong-Guk],
Tracking a Human Fast and Reliably Against Occlusion and Human-Crossing,
PSIVT15(461-472).
Springer DOI
1602
BibRef
Zhou, Z.[Zhi],
Wang, Y.[Yue],
Teoh, E.K.[Eam Khwang],
Double layer salient parts based multi-people tracking,
ICIP15(3067-3071)
IEEE DOI
1512
Multi-people tracking
BibRef
de Carvalho Prates, R.F.[Raphael Felipe],
Schwartz, W.R.[William Robson],
CBRA: Color-based ranking aggregation for person re-identification,
ICIP15(1975-1979)
IEEE DOI
1512
color features
BibRef
Si, J.L.[Jian-Lou],
Zhang, H.G.[Hong-Gang],
Li, C.G.[Chun-Guang],
Regularization in metric learning for person re-identification,
ICIP15(2309-2313)
IEEE DOI
1512
Metric Learning; Person Re-identification; Regularization
BibRef
Huang, S.[Shuai],
Gu, Y.[Yun],
Yang, J.[Jie],
Shi, P.F.[Peng-Fei],
Reranking of person re-identification by manifold-based approach,
ICIP15(4253-4257)
IEEE DOI
1512
manifold; re-identification; reranking
BibRef
Tsai, M.C.[Ming-Chia],
Wei, C.P.[Chia-Po],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Graph regularized low-rank matrix recovery for robust person
re-identification,
ICIP15(4654-4658)
IEEE DOI
1512
Graph Regularization; Low-Rank Matrix Recovery; Person Re-Identification
BibRef
Fagot-Bouquet, L.[Low],
Audigier, R.[Romaric],
Dhome, Y.[Yoann],
Lerasle, F.[Frederic],
Online multi-person tracking based on global sparse collaborative
representations,
ICIP15(2414-2418)
IEEE DOI
1512
BibRef
Earlier:
Collaboration and spatialization for an efficient multi-person
tracking via sparse representations,
AVSS15(1-6)
IEEE DOI
1511
Online tracking.
computer vision
BibRef
Ristani, E.[Ergys],
Tomasi, C.[Carlo],
Tracking Multiple People Online and in Real Time,
ACCV14(V: 444-459).
Springer DOI
1504
BibRef
Mansouri, N.,
Ben Jemaa, Y.,
Motamed, C.,
Pinti, A.,
Watelain, E.,
A new strategy based on spatiogram similarity association for
multi-pedestrian tracking,
IPTA14(1-6)
IEEE DOI
1503
image sequences
BibRef
Chen, J.H.[Jia-Hui],
Sheng, H.[Hao],
Zhang, Y.[Yang],
Xiong, Z.[Zhang],
Enhancing Detection Model for Multiple Hypothesis Tracking,
PETS17(2143-2152)
IEEE DOI
1709
Analytical models, Cameras, Correlation, Detectors, Target tracking, Trajectory
BibRef
Sheng, H.[Hao],
Liu, S.[Shukai],
Ji, H.S.[Heng-Shan],
Chen, J.H.[Jia-Hui],
Xiong, Z.[Zhang],
A Pedestrian-Pedestrian and Pedestrian-Vehicle Interaction Motion Model
for Pedestrians Tracking,
ISVC14(I: 270-280).
Springer DOI
1501
BibRef
Pham, V.Q.[Viet-Quoc],
Kozakaya, T.[Tatsuo],
Okada, R.[Ryuzo],
DIET:
Dynamic Integration of Extended Tracklets for Tracking Multiple Persons,
ICPR14(1206-1211)
IEEE DOI
1412
Cities and towns
BibRef
Yan, X.[Xu],
Cheriyadat, A.[Anil],
Shah, S.K.[Shishir K.],
Hierarchical Group Structures in Multi-person Tracking,
ICPR14(2221-2226)
IEEE DOI
1412
Dynamics
BibRef
Gudys, A.[Adam],
Rosner, J.[Jakub],
Segen, J.[Jakub],
Wojciechowski, K.[Konrad],
Kulbacki, M.[Marek],
Tracking People in Video Sequences by Clustering Feature Motion Paths,
ICCVG14(236-245).
Springer DOI
1410
BibRef
Henschel, R.[Roberto],
Leal-Taixé, L.[Laura],
Rosenhahn, B.[Bodo],
Solving Multiple People Tracking in a Minimum Cost Arborescence,
MTT15(71-72)
IEEE DOI
1503
BibRef
Earlier:
Efficient Multiple People Tracking Using Minimum Cost Arborescences,
GCPR14(265-276).
Springer DOI
1411
BibRef
Xiang, Y.,
Alahi, A.[Alexandre],
Savarese, S.[Silvio],
Learning to Track: Online Multi-object Tracking by Decision Making,
ICCV15(4705-4713)
IEEE DOI
1602
Decision making
BibRef
Leal-Taixe, L.[Laura],
Fenzi, M.[Michele],
Kuznetsova, A.[Alina],
Rosenhahn, B.[Bodo],
Savarese, S.[Silvio],
Learning an Image-Based Motion Context for Multiple People Tracking,
CVPR14(3542-3549)
IEEE DOI
1409
image-based motion context
BibRef
Wang, B.[Bing],
Wang, G.[Gang],
Chan, K.L.[Kap Luk],
Wang, L.[Li],
Tracklet Association in Detect-Then-Track Paradigm for Long-Term
Multi-person Tracking,
LTDT14(716-717)
IEEE DOI
1409
BibRef
Zhang, J.M.[Jian-Ming],
lo Presti, L.[Liliana],
Sclaroff, S.[Stan],
Online Multi-person Tracking by Tracker Hierarchy,
AVSS12(379-385).
IEEE DOI
1211
BibRef
Nie, W.Z.[Wei-Zhi],
Liu, A.A.[An-An],
Su, Y.T.[Yu-Ting],
Multiple Person Tracking by Spatiotemporal Tracklet Association,
AVSS12(481-486).
IEEE DOI
1211
BibRef
Jiang, X.Y.[Xiao-Yan],
Rodner, E.[Erik],
Denzler, J.[Joachim],
Multi-person Tracking-by-Detection Based on Calibrated Multi-camera
Systems,
ICCVG12(743-751).
Springer DOI
1210
BibRef
Piatkowska, E.[Ewa],
Kogler, J.,
Belbachir, A.N.[Ahmed Nabil],
Gelautz, M.[Margrit],
Improved Cooperative Stereo Matching for Dynamic Vision Sensors with
Ground Truth Evaluation,
ECVW17(370-377)
IEEE DOI
1709
BibRef
Earlier: A1, A3, A4, Only:
Asynchronous Stereo Vision for Event-Driven Dynamic Stereo Sensor
Using an Adaptive Cooperative Approach,
CDC4CV13(45-50)
IEEE DOI
1403
Biosensors, Cameras, Computer vision, Heuristic algorithms,
Voltage control.
BibRef
Piatkowska, E.[Ewa],
Belbachir, A.N.[Ahmed Nabil],
Schraml, S.[Stephan],
Gelautz, M.[Margrit],
Spatiotemporal multiple persons tracking using Dynamic Vision Sensor,
ECVW12(35-40).
IEEE DOI
1207
BibRef
Heili, A.[Alexandre],
Odobez, J.M.[Jean-Marc],
Parameter estimation and contextual adaptation for a multi-object
tracking CRF model,
PETS13(14-21)
IEEE DOI
1411
object detection
BibRef
Heili, A.[Alexandre],
Chen, C.[Cheng],
Odobez, J.M.[Jean-Marc],
Detection-based multi-human tracking using a CRF model,
VS11(1673-1680).
IEEE DOI
1201
BibRef
Luo, X.H.[Xing-Han],
Tan, R.T.[Robby T.],
Veltkamp, R.C.[Remco C.],
Multi-person tracking based on vertical reference lines and dynamic
visibility analysis,
ICIP11(1877-1880).
IEEE DOI
1201
BibRef
Thaler, M.[Marcus],
Bailer, W.[Werner],
Real-Time Person Detection and Tracking in Panoramic Video,
CVSports13(1027-1032)
IEEE DOI
1309
broadcast; detection; panoramic; sports; tracking
BibRef
Thaler, M.[Marcus],
Kaiser, R.[Rene],
Bailer, W.[Werner],
Kriechbaum, A.[Andreas],
Tracking Persons in Ultra-HD Panoramic Video,
MMMod12(633-635).
Springer DOI
1201
BibRef
Yeh, H.H.[Hsin-Ho],
Chen, J.Y.[Jiun-Yu],
Huang, C.R.[Chun-Rong],
Chen, C.S.[Chu-Song],
An adaptive approach for overlapping people tracking based on
foreground silhouettes,
ICIP10(3489-3492).
IEEE DOI
1009
BibRef
Galoogahi, H.K.,
Tracking Groups of People in Presence of Occlusion,
PSIVT10(438-443).
IEEE DOI
1011
BibRef
Zen, G.[Gloria],
Lanz, O.[Oswald],
Messelodi, S.[Stefano],
Ricci, E.[Elisa],
Tracking Multiple People with Illumination Maps,
ICPR10(3484-3487).
IEEE DOI
1008
BibRef
Bütepage, J.,
Black, M.J.,
Kragic, D.[Danica],
Kjellström, H.[Hedvig],
Deep Representation Learning for Human Motion Prediction and
Classification,
CVPR17(1591-1599)
IEEE DOI
1711
Computational modeling, Correlation, Decoding, Encoding,
Feature extraction, Hidden, Markov, models
BibRef
Kjellstrom, H.[Hedvig],
Kragic, D.[Danica],
Black, M.J.[Michael J.],
Tracking people interacting with objects,
CVPR10(747-754).
IEEE DOI
1006
BibRef
Breitenstein, M.D.[Michael D.],
Reichlin, F.[Fabian],
Leibe, B.[Bastian],
Koller-Meier, E.[Esther],
Van Gool, L.J.[Luc J.],
Robust tracking-by-detection using a detector confidence particle
filter,
ICCV09(1515-1522).
IEEE DOI
0909
multi-person tracking. Particle filter framework.
BibRef
Ishiguro, K.[Katsuhiko],
Yamada, T.[Takeshi],
Ueda, N.[Naonori],
Simultaneous clustering and tracking unknown number of objects,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Apewokin, S.,
Valentine, B.,
Bales, M.R.[M. Ryan],
Wills, L.M.[Linda M.],
Wills, D.S.[D. Scott],
Tracking multiple pedestrians in real-time using kinematics,
EmbedCV08(1-6).
IEEE DOI
0806
BibRef
Boufama, B.,
Ali, M.A.,
Tracking Multiple People in the Context of Video Surveillance,
ICIAR07(581-592).
Springer DOI
0708
BibRef
Feldmann, T.[Tobias],
Scheuermann, B.[Björn],
Rosenhahn, B.[Bodo],
Wörner, A.[Annika],
N-View Human Silhouette Segmentation in Cluttered, Partially Changing
Environments,
DAGM10(363-372).
Springer DOI
1009
BibRef
Rosenhahn, B.[Bodo],
Klette, R.[Reinhard],
Sommer, G.[Gerald],
Silhouette Based Human Motion Estimation,
DAGM04(294-301).
Springer DOI
0505
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Girondel, V.,
Caplier, A.,
Bonnaud, L.,
Real time tracking of multiple persons by Kalman filtering and face
pursuit for multimedia applications,
Southwest04(201-205).
IEEE DOI
0411
BibRef
Mori, T.[Taketoshi],
Matsumoto, T.[Takashi],
Shimosaka, M.[Masamichi],
Noguchi, H.[Hiroshi],
Sato, T.[Tomomasa],
Multiple Persons Tracking with Data Fusion of Multiple Cameras and
Sensing Floor Using Particle Filters,
M2SFA208(xx-yy).
0810
BibRef
Harada, T.[Tatsuya],
Sato, T.[Tomomasa],
Mori, T.[Taketoshi],
Human Motion Tracking System Based on Skeleton and Surface Integration
Model Using Pressure Sensors Distribtuion Bed,
HUMO00(99-106).
IEEE Top Reference.
0010
BibRef
Roh, H.,
Kang, S.,
Lee, S.W.,
Multiple People Tracking Using Appearance Model Based on Temporal Color,
ICPR00(Vol IV: 643-646).
IEEE DOI
0009
BibRef
Bernier, O.J.[Olivier J.],
Collobert, M.,
Feraud, R.,
Lemaire, V.,
Viallet, J.E.,
Collobert, D.,
MULTRAK: a system for automatic multiperson localization and tracking
in real-time,
ICIP98(I: 136-140).
IEEE DOI
9810
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking People, Re-Identification Issues, Occlusions .