Monocular 3D pose estimation and tracking by detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 623-630

  Andriluka, Mykhaylo ^a,b   Roth, Stefan ^a   Schiele, Bernt ^a,b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

2D IMAGES; 3D POSE ESTIMATION; 3D TRACKING; AUTOMATIC RECOVERY; CONTROLLED ENVIRONMENT; DATA ASSOCIATION; HUMAN POSE; IMAGE SEQUENCE; INITIAL ESTIMATE; MONOCULAR IMAGE SEQUENCE; REAL-WORLD SCENARIO; RESEARCH TOPICS; ROBUST ESTIMATE; STATE-OF-THE-ART PERFORMANCE; THREE-STAGE PROCESS; TWO STAGE;

COMPUTER VISION; GESTURE RECOGNITION; RECOVERY; ROADS AND STREETS;

THREE DIMENSIONAL;

EID: 77955992058     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540156     Document Type: Conference Paper

References (31)

1. A. Agarwal and B. Triggs. Recovering 3D human pose from monocular images. PAMI, 28(1):44-58, 2006.
2. M. Andriluka, S. Roth, and B. Schiele. People-tracking-by-detection and people-detection-by-tracking. In CVPR-08.
3. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR-09.
4. A. Balan, L. Sigal, M. Black, J. Davis, and H. Haussecker. Detailed human shape and pose from images. In CVPR-07.
5. S. Belongie, J. Malik, and J. Puzicha. Shape context: A new descriptor for shape matching and object recognition. In NIPS*00.
6. J. Deutscher and I. Reid. Articulated body motion capture by stochastic search. IJCV, 61:185-205, Feb. 2005.
7. M. Eichner and V. Ferrari. Better appearance models for pictorial structures. In BMVC-09.
8. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61:55-79, Jan. 2005.
9. P. F. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR-08.
10. V. Ferrari, M. Marin, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR-08.
11. A. Fossati, M. Dimitrijevic, V. Lepetit, and P. Fua. Bridging the gap between detection and tracking for 3D monocular video-based motion capture. In CVPR-07.
12. Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. of Comp. and Sys. Sc., 55(1):119-139, 1997.
13. J. Gall, B. Rosenhahn, T. Brox, and H.-P. Seidel. Optimization and filtering for human motion capture: A multi-layer framework. IJCV, 87(1-2), Mar. 2010.
14. S. Gammeter, A. Ess, T. Jaeggli, K. Schindler, B. Leibe, and L. Gool. Articulated multi-body tracking under egomotion. In ECCV-08.
15. N. Hasler, B. Rosenhahn, T. Thormaehlen, M. Wand, and H.-P. Seidel. Markerless motion capture with unsynchronized moving cameras. In CVPR-09.
16. C. Ionescu, L. Bo, and C. Sminchisescu. Structural SVM for visual localization and continuous state estimation. In ICCV-09.
17. N. D. Lawrence and A. J. Moore. Hierarchical Gaussian process latent variable models. In ICML-07.
18. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. PAMI, 27(10):1615-1630, 2005.
19. G. Mori and J. Malik. Recovering 3D human body configurations using shape contexts. PAMI, 28(7):1052-1062, 2006.
20. D. Ramanan. Learning to parse images of articulated objects. In NIPS*06.
21. G. Rogez, J. Rihan, S. Ramalingam, C. Orrite, and P. H. Torr. Randomized trees for human pose detection. In CVPR-08.
22. G. Shakhnarovich, P. A. Viola, and T. Darrell. Fast pose estimation with parameter-sensitive hashing. In ICCV-03.
23. L. Sigal and M. Black. HumanEva: Synchronized video and motion capture dataset for evaluation of articulated human motion. Technical report, Brown University, 2006.
24. L. Sigal and M. J. Black. Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In CVPR-06.
25. L. Sigal and M. J. Black. Predicting 3D people from 2D pictures. In AMDO 2006.
26. Z. Tu, X. Chen, A. L. Yuille, and S.-C. Zhu. Image parsing: Unifying segmentation, detection, and recognition. IJCV, 63(2):113-140, 2005.
27. R. Urtasun and T. Darrell. Local probabilistic regression for activity-independent human pose inference. In ICCV-09.
28. R. Urtasun, D. J. Fleet, and P. Fua. 3D people tracking with Gaussian process dynamical models. In CVPR-06.
29. M. Vondrak, L. Sigal, and O. C. Jenkins. Physical simulation for probabilistic motion tracking. In CVPR-08.
30. C. Wojek, S. Walk, and B. Schiele. Multi-cue onboard pedestrian detection. In CVPR-09.
31. B. Wu and R. Nevatia. Detection and tracking of multiple, partially occluded humans by Bayesian combination of edgelet based part detectors. IJCV, 75:247-266, Nov. 2007.