Fetching the paper…
Reading the bibliography…
We present VoxelTrack for multi-person 3D pose estimation and tracking from a few cameras which are separated by wide baselines.
1907
Earlier work this paper cites.
H. W. Kuhn, “The hungarian method for the assignment problem,” Naval research logistics quarterly , vol. 2, no. 1-2, pp. 83–97, 1955
1955
Earlier work this paper cites.
R. E. Kalman, “A new approach to linear filtering and prediction problems,” 1960
1960
Earlier work this paper cites.
R. Hartley and A. Zisserman, Multiple view geometry in computer vision . Cambridge university press, 2003
2003
Earlier work this paper cites.
F. Fleuret, J. Berclaz, R. Lengagne, and P. Fua, “Multicamera people tracking with a probabilistic occupancy map,” IEEE transactions on pattern analysis and machine intelligence , vol. 30, no. 2, pp. 267–282, 2007
2007
Earlier work this paper cites.
V. Ferrari, M. Marin-Jimenez, and A. Zisserman, “Progressive search space reduction for human pose estimation,” in CVPR . IEEE, 2008, pp. 1–8
2008
Earlier work this paper cites.
K. Bernardin and R. Stiefelhagen, “Evaluating multiple object tracking performance: the clear mot metrics,” EURASIP Journal on Image and Video Processing , vol. 2008, pp. 1–10, 2008
2008
Earlier work this paper cites.
M. Andriluka, S. Roth, and B. Schiele, “Pictorial structures revisited: People detection and articulated pose estimation,” in CVPR . IEEE, 2009, pp. 1014–1021
2009
Earlier work this paper cites.
D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino, “Custom pictorial structures for re-identification.” in BMVC , vol. 1, no. 2. Citeseer, 2011, p. 6
2011
Earlier work this paper cites.
Y. Yang and D. Ramanan, “Articulated pose estimation with flexible mixtures-of-parts,” in CVPR . IEEE, 2011, pp. 1385–1392
2011
Earlier work this paper cites.
H. Pirsiavash, D. Ramanan, and C. C. Fowlkes, “Globally-optimal greedy algorithms for tracking a variable number of objects,” in CVPR . IEEE, 2011, pp. 1201–1208
2011
Earlier work this paper cites.
M. Burenius, J. Sullivan, and S. Carlsson, “3d pictorial structures for multiple view articulated pose estimation,” in CVPR , 2013, pp. 3618–3625
2013
Earlier work this paper cites.
S. Amin, M. Andriluka, M. Rohrbach, and B. Schiele, “Multi-view pictorial structures for 3d human pose estimation.” in BMVC . Citeseer, 2013
2013
Earlier work this paper cites.
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao, “Robust estimation of 3d human poses from a single image,” in CVPR , 2014, pp. 2361–2368
2014
Earlier work this paper cites.
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele, “2d human pose estimation: New benchmark and state of the art analysis,” in CVPR , June 2014
2014
Earlier work this paper cites.
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft coco: Common objects in context,” in ECCV . Springer, 2014, pp. 740–755
2014
Earlier work this paper cites.
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler, “Joint training of a convolutional network and a graphical model for human pose estimation,” in Advances in neural information processing systems , 2014, pp. 1799–1807
2014
Earlier work this paper cites.
X. Chen and A. L. Yuille, “Articulated pose estimation by a graphical model with image dependent pairwise relations,” in NIPS , 2014, pp. 1736–1744
2014
Earlier work this paper cites.
V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic, “3d pictorial structures for multiple human pose estimation,” in CVPR , 2014, pp. 1669–1676
2014
Earlier work this paper cites.
V. Belagiannis, X. Wang, B. Schiele, P. Fua, S. Ilic, and N. Navab, “Multiple human pose estimation with temporally consistent 3d pictorial structures,” in European Conference on Computer Vision . Springer, 2014, pp. 742–754
2014
Earlier work this paper cites.
V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic, “3d pictorial structures revisited: Multiple human pose estimation,” TPAMI , vol. 38, no. 10, pp. 1929–1942, 2015
2015
Earlier work this paper cites.
P. Peng, Y. Tian, Y. Wang, J. Li, and T. Huang, “Robust multiple cameras pedestrian detection with multi-view bayesian network,” Pattern Recognition , vol. 48, no. 5, pp. 1760–1772, 2015
2015
Earlier work this paper cites.
M. Keuper, E. Levinkov, N. Bonneel, G. Lavoué, T. Brox, and B. Andres, “Efficient decomposition of image and mesh graphs by lifted multicuts,” in ICCV , 2015, pp. 1751–1759
2015
Earlier work this paper cites.
A. Newell, K. Yang, and J. Deng, “Stacked hourglass networks for human pose estimation,” in ECCV . Springer, 2016, pp. 483–499
2016
Earlier work this paper cites.
A. Bewley, Z. Ge, L. Ott, F. Ramos, and B. Upcroft, “Simple online and realtime tracking,” in ICIP . IEEE, 2016, pp. 3464–3468
2016
Earlier work this paper cites.
X. Liu, “Multi-view 3d human tracking in crowded scenes,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 30, no. 1, 2016
2016
Earlier work this paper cites.
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. V. Gehler, and B. Schiele, “Deepcut: Joint subset partition and labeling for multi person pose estimation,” in CVPR , 2016, pp. 4929–4937
2016
Earlier work this paper cites.
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi, “Performance measures and a data set for multi-target, multi-camera tracking,” in European Conference on Computer Vision . Springer, 2016, pp. 17–35
2016
Earlier work this paper cites.
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh, “Realtime multi-person 2d pose estimation using part affinity fields,” in CVPR , 2017, pp. 7291–7299
2017
Earlier work this paper cites.
C. Su, J. Li, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Pose-driven deep convolutional model for person re-identification,” in ICCV , 2017, pp. 3960–3969
2017
Cited alongside, same era.
S. Jin, X. Ma, Z. Han, Y. Wu, W. Yang, W. Liu, C. Qian, and W. Ouyang, “Towards multi-person pose tracking: Bottom-up and top-down methods,” in ICCV PoseTrack Workshop , vol. 2, no. 3, 2017, p. 7
2017
Cited alongside, same era.
X. Zhu, Y. Jiang, and Z. Luo, “Multi-person pose estimation for posetrack with enhanced part affinity fields,” in ICCV PoseTrack Workshop , vol. 3, 2017, p. 7
2017
Cited alongside, same era.
2017
Cited alongside, same era.
S. Ershadi-Nasab, E. Noury, S. Kasaei, and E. Sanaei, “Multiple human 3d pose estimation from multiview images,” Multimedia Tools and Applications , vol. 77, no. 12, pp. 15 573–15 601, 2018
2018
Later among the works it cites.
H. Qiu, C. Wang, J. Wang, N. Wang, and W. Zeng, “Cross view fusion for 3d human pose estimation,” in ICCV , 2019, pp. 4342–4351
2019
Later among the works it cites.
2019
Later among the works it cites.
P. Bergmann, T. Meinhardt, and L. Leal-Taixe, “Tracking without bells and whistles,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019, pp. 941–951
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
H. Joo, T. Simon, X. Li, H. Liu, L. Tan, L. Gui, S. Banerjee, T. S. Godisart, B. Nabbe, I. Matthews, T. Kanade, S. Nobuhara, and Y. Sheikh, “Panoptic studio: A massively multiview system for social interaction capture,” IEEE Transactions on Pattern Analysis and Machine Intelligence , 2017
2017
Cited alongside, same era.
A. Newell, Z. Huang, and J. Deng, “Associative embedding: End-to-end learning for joint detection and grouping,” in NIPS , 2017, pp. 2277–2287
2017
Cited alongside, same era.
E. Insafutdinov, M. Andriluka, L. Pishchulin, S. Tang, E. Levinkov, B. Andres, and B. Schiele, “Arttrack: Articulated multi-person tracking in the wild,” in CVPR , 2017, pp. 6457–6465
2017
Cited alongside, same era.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask r-cnn,” in ICCV , 2017, pp. 2961–2969
2017
Cited alongside, same era.
G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, and K. Murphy, “Towards accurate multi-person pose estimation in the wild,” in CVPR , 2017, pp. 4903–4911
2017
Cited alongside, same era.
E. Bochinski, V. Eiselein, and T. Sikora, “High-speed tracking-by-detection without using image information,” in 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) . IEEE, 2017, pp. 1–6
2017
Cited alongside, same era.
N. Wojke, A. Bewley, and D. Paulus, “Simple online and realtime tracking with a deep association metric,” in 2017 IEEE international conference on image processing (ICIP) . IEEE, 2017, pp. 3645–3649
2017
Cited alongside, same era.
A. Maksai, X. Wang, F. Fleuret, and P. Fua, “Non-markovian globally consistent multi-object tracking,” in Proceedings of the IEEE international conference on computer vision , 2017, pp. 2544–2554
2017
Cited alongside, same era.
2019
Later among the works it cites.
R. Henschel, Y. Zou, and B. Rosenhahn, “Multiple people tracking using body and joint detections,” in CVPRW , 2019, pp. 0–0
2019
Later among the works it cites.
X. Sun, C. Li, and S. Lin, “Explicit spatiotemporal joint relation learning for tracking human pose,” in ICCVW , 2019, pp. 0–0
2019
Later among the works it cites.
J. Tanke and J. Gall, “Iterative greedy matching for 3d human pose tracking from multiple views,” in German Conference on Pattern Recognition . Springer, 2019, pp. 537–550
2019
Later among the works it cites.
L. Bridgeman, M. Volino, J.-Y. Guillemaut, and A. Hilton, “Multi-person 3d pose estimation and tracking in sports,” in CVPRW , 2019, pp. 0–0
2019
Later among the works it cites.
J. Dong, W. Jiang, Q. Huang, H. Bao, and X. Zhou, “Fast and robust multi-person 3d pose estimation from multiple views,” in CVPR , 2019, pp. 7792–7801
2019
Later among the works it cites.
K. Sun, B. Xiao, D. Liu, and J. Wang, “Deep high-resolution representation learning for human pose estimation,” in CVPR , 2019, pp. 5693–5703
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
S. Kreiss, L. Bertoni, and A. Alahi, “Pifpaf: Composite fields for human pose estimation,” in CVPR , 2019, pp. 11 977–11 986
2019
Later among the works it cites.
2019
Later among the works it cites.
X. Zhou, D. Wang, and P. Krähenbühl, “Objects as points,” arXiv preprint arXiv:1904.07850 , 2019
2019
Later among the works it cites.
D. Xiang, H. Joo, and Y. Sheikh, “Monocular total capture: Posing face, body, and hands in the wild,” in CVPR , 2019, pp. 10 965–10 974
2019
Later among the works it cites.
2019
Later among the works it cites.
H. Tu, C. Wang, and W. Zeng, “Voxelpose: Towards multi-camera 3d human pose estimation in wild environment,” ECCV , 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
B. Cheng, B. Xiao, J. Wang, H. Shi, T. S. Huang, and L. Zhang, “Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation,” in CVPR , 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
U. Iqbal, A. Milan, and J. Gall, “Posetrack: Joint multi-person pose estimation and tracking,” in CVPR , 2017, pp. 2011–2020
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
G. Ning, J. Pei, and H. Huang, “Lighttrack: A generic framework for online top-down human pose tracking,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , 2020, pp. 1034–1035
2020
Later among the works it cites.
X. Ma, J. Su, C. Wang, H. Ci, and Y. Wang, “Context modeling in 3d human pose estimation: A unified perspective,” in CVPR , 2021, pp. 6238–6247
2021
Closest in time.