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In this work, we introduce the challenging problem of joint multi-person pose estimation and tracking of an unknown number of persons in unconstrained videos.
People-tracking-by-detection and people-detection-by-tracking
M. Andriluka, S. Roth, and B. Schiele · 2008
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Evaluating multiple object tracking performance: The CLEAR MOT metrics
K. Bernardin and R. Stiefelhagen · 2008
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Learning to associate: Hybridboosted multi-target tracker for crowded scene
Y. Li, C. Huang, and R. Nevatia · 2009
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We are family: Joint pose estimation of multiple persons
M. Eichner and V. Ferrari · 2010
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Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
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N-best maximal decoders for part models
D. Park and D. Ramanan · 2011
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Parsing human motion with stretchable models
B. Sapp, D. J. Weiss, and B. Taskar · 2011
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Articulated part-based model for joint object detection and pose estimation
M. Sun and S. Savarese · 2011
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(MP)2T: Multiple people multiple parts tracker
H. Izadinia, I. Saleemi, W. Li, and M. Shah · 2012
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Articulated people detection and pose estimation: Reshaping the future
L. Pishchulin, A. Jain, M. Andriluka, T. Thormählen, and B. Schiele · 2012
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An online learned CRF model for multi-target tracking
B. Yang and R. Nevatia · 2012
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Towards understanding action recognition
H. Jhuang, J. Gall, S. Zuffi, C. Schmid, and M. Black · 2013
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Human pose estimation using a joint pixel-wise and part-wise formulation
L. Ladicky, P. H. Torr, and A. Zisserman · 2013
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Tracking human pose by tracking symmetric parts
V. Ramakrishna, T. Kanade, and Y. Sheikh · 2013
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DeepFlow: Large displacement optical flow with deep matching
P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid · 2013
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Articulated human detection with flexible mixtures of parts
Y. Yang and D. Ramanan · 2013
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From actemes to action: A strongly-supervised representation for detailed action understanding
W. Zhang, M. Zhu, and K. G. Derpanis · 2013
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Estimating human pose with flowing puppets
S. Zuffi, J. Romero, C. Schmid, and M. J. Black · 2013
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2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
Cited alongside, same era.
Mixing Body-Part Sequences for Human Pose Estimation
A. Cherian, J. Mairal, K. Alahari, and C. Schmid · 2014
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Using k-poselets for detecting people and localizing their keypoints
G. Gkioxari, B. Hariharan, R. Girshick, and J. Malik · 2014
Cited alongside, same era.
Modeep: A deep learning framework using motion features for human pose estimation
A. Jain, J. Tompson, Y. LeCun, and C. Bregler · 2014
Human pose estimation via convolutional part heatmap regression
A. Bulat and G. Tzimiropoulos · 2016
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Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2016
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Personalizing human video pose estimation
J. Charles, T. Pfister, D. Magee, D. Hogg, and A. Zisserman · 2016
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Chained predictions using convolutional neural networks
G. Gkioxari, A. Toshev, and N. Jaitly · 2016
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Bottom-up and top-down reasoning with hierarchical rectified gaussians
P. Hu and D. Ramanan · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Cited alongside, same era.
Unsupervised video adaptation for parsing human motion
H. Shen, S.-I. Yu, Y. Yang, D. Meng, and A. Hauptmann · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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3d pictorial structures revisited: Multiple human pose estimation
V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic · 2015
Cited alongside, same era.
Parsing occluded people by flexible compositions
X. Chen and A. L. Yuille · 2015
Cited alongside, same era.
Near-online multi-target tracking with aggregated local flow descriptor
W. Choi · 2015
Cited alongside, same era.
Multi-person pose estimation with local joint-to-person associations
U. Iqbal and J. Gall · 2016
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Mot16: A benchmark for multi-object tracking
A. Milan, L. Leal-Taixe, I. Reid, S. Roth, and K. Schindler · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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DeepCut: Joint subset partition and labeling for multi person pose estimation
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. Gehler, and B. Schiele · 2016
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An efficient convolutional network for human pose estimation
U. Rafi, I.Kostrikov, J. Gall, and B. Leibe · 2016
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Multi-person tracking by multicut and deep matching
S. Tang, B. Andres, M. Andriluka, and B. Schiele · 2016
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Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Articulated multi-person tracking in the wild
E. Insafutdinov, M. Andriluka, L. Pishchulin, S. Tang, E. Levinkov, B. Andres, and B. Schiele · 2017
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Pose for action - action for pose
U. Iqbal, M. Garbade, and J. Gall · 2017
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