Upper body pose estimation with temporal sequential forests

BMVC 2014 - Proceedings of the British Machine Vision Conference 2014

Volumn , Issue , 2014, Pages

  Charles, James ^a   Pfister, Tomas ^b   Magee, Derek ^a   Hogg, David ^a   Zisserman, Andrew ^b  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES;

COMPUTATIONALLY EFFICIENT; DENSE OPTICAL FLOW; HUMAN KINEMATICS; HUMAN UPPER BODY; LEARNING PROBLEM; MIXTURE OF EXPERTS; SIMPLIFYING ASSUMPTIONS; STATE OF THE ART;

KINEMATICS;

EID: 85088061881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/c.28.54     Document Type: Conference Paper

References (20)

1. P. Buehler, M. Everingham, D. P. Huttenlocher, and A. Zisserman. Upper body detection and tracking in extended signing sequences. IJCV, 2011.
2. J. Charles, T. Pfister, M. Everingham, and A. Zisserman. Automatic and efficient human pose estimation for sign language videos. IJCV, 2013.
3. J. Charles, T. Pfister, D. Magee, D. Hogg, and A. Zisserman. Domain adaptation for upper body pose tracking in signed TV broadcasts. In Proc. BMVC, 2013.
4. T.F. Cootes, M.C. Ionita, C. Lindner, and P. Sauer. Robust and accurate shape model fitting using random forest regression voting. In Proc. ECCV, 2012.
5. M. Dantone, J. Gall, C. Leistner, and L. Van Gool. Human pose estimation using body parts dependent joint regressors. In Proc. CVPR, 2013.
6. R. Girshick, J. Shotton, P. Kohli, A. Criminisi, and A. Fitzgibbon. Efficient regression of general-activity human poses from depth images. In Proc. ICCV, 2011.
7. J. Jancsary, S. Nowozin, T. Sharp, and C. Rother. Regression tree fields - an efficient, non-parametric approach to image labeling problems. In Proc. CVPR, 2012.
8. P. Kontschieder, P. Kohli, J. Shotton, and A. Criminisi. Geof: Geodesic forests for learning coupled predictors. In Proc. CVPR, 2013.
9. A. Montillo, J. Shotton, J. Winn, J. E. Iglesias, D. Metaxas, and A. Criminisi. Entangled decision forests and their application for semantic segmentation of ct images. IPMI, 2011.
10. D. Munoz, J. A. Bagnell, and M. Hebert. Stacked hierarchical labeling. In Proc. ECCV, 2010.
11. Payet N. and Todorovic S. (RF)2 - random forest random field. In NIPS, 2010.
12. S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, and P. Kohli. Decision tree fields. In Proc. ICCV, 2011.
13. T. Pfister, J. Charles, M. Everingham, and A. Zisserman. Automatic and efficient long term arm and hand tracking for continuous sign language TV broadcasts. In Proc. BMVC, 2012.
14. Escalera S., J. Gonzalez, X. Baro, M. Reyes, O. Lopes, I. Guyon, V. Athistos, and H.J. Escalante. Multi-modal gesture recognition challenge 2013: Dataset and results. In ICMI, 2013.
15. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In Proc. CVPR, 2011.
16. Z. Tu and X. Bai. Auto-context and its application to high-level vision tasks and 3d brain image segmentation. IEEE PAMI, 2010.
17. P. Weinzaepfel, Z. Revaud, J.and Harchaoui, and C. Schmid. Deepflow: Large displacement optical flow with deep matching. In Proc. ICCV, 2013.
18. H. Yang and I. Patras. Sieving regression forest votes for facial feature detection in the wild. In Proc. ICCV, 2013.
19. Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In Proc. CVPR, 2011.
20. S. Zuffi, J. Romero, C Schmid, and M.J. Black. Estimating human pose with flowing puppets. In Proc. ICCV, 2013.