Learning hierarchical poselets for human parsing

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

Volumn , Issue , 2011, Pages 1705-1712

  Wang, Yang ^a   Tran, Duan ^a   Liao, Zicheng ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

HUMAN ANATOMY; HUMAN BODIES; MODEL PARAMETERS; PART-BASED MODELS; POSE VARIATION; STRUCTURED MODEL; WHOLE BODY;

PATTERN RECOGNITION;

EID: 80052913131     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995519     Document Type: Conference Paper

References (30)

1. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR, 2009.
2. L. Bourdev, S. Maji, T. Brox, and J. Malik. Detecting people using mutually consistent poselet activations. In ECCV, 2010.
3. L. Bourdev and J. Malik. Poselets: Body part detectors training using 3d human pose annotations. In ICCV, 2009.
4. N. Dalal and B. Triggs. Histogram of oriented gradients for human detection. In CVPR, 2005.
5. M. Eichner and V. Ferrari. Better appearance models for pictorial structures. In BMVC, 2009.
6. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. IEEE PAMI, 2009.
7. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1):55-79, 2005.
8. V. Ferrari, M. Marín-Jiménez, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR, 2008.
9. H. Jiang and D. R. Martin. Globel pose estimation using non-tree models. In CVPR, 2008.
10. T. Joachims, T. Finley, and C.-N. Yu. Cutting-plane training of structural SVMs. Machine Learning, 2008.
11. S. X. Ju, M. J. Black, and Y. Yaccob. Cardboard people: A parameterized model of articulated image motion. In FG, 1996.
12. X. Lan and D. P. Huttenlocher. Beyond trees: Common-factor models for 2d human pose recovery. In ICCV, 2005.
13. G. Mori. Guiding model search using segmentation. In ICCV, 2005.
14. G. Mori and J. Malik. Estimating human body configurations using shape context matching. In ECCV, 2002.
15. G. Mori, X. Ren, A. Efros, and J. Malik. Recovering human body configuration: Combining segmentation and recognition. In CVPR, 2004.
16. D. Ramanan. Learning to parse images of articulated bodies. In NIPS, 2007.
17. D. Ramanan, D. A. Forsyth, and A. Zisserman. Strike a pose: Tracking people by finding stylized poses. In CVPR, 2005.
18. X. Ren, A. Berg, and J. Malik. Recovering human body configurations using pairwise constraints between parts. In ICCV, 2005.
19. B. Sapp, C. Jordan, and B. Taskar. Adaptive pose priors for pictorial structures. In CVPR, 2010.
20. B. Sapp, A. Toshev, and B. Taskar. Cascaded models for articulated pose estimation. In ECCV, 2010.
21. G. Shakhnarovich, P. Viola, and T. Darrell. Fast pose estimation with parameter sensitive hashing. In ICCV, 2003.
22. L. Sigal and M. J. Black. Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In CVPR, 2006.
23. P. Srinivasan and J. Shi. Bottom-up recognition and parsing of the human body. In CVPR, 2007.
24. J. Sullivan and S. Carlsson. Recognizing and tracking human action. In ECCV, 2002.
25. T.-P. Tian and S. Sclaroff. Fast globally optimal 2d human detection with loopy graph models. In CVPR, 2010.
26. D. Tran and D. Forsyth. Improved human parsing with a full relational model. In ECCV, 2010.
27. I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 6:1453-1484, 2005.
28. Y. Wang and G. Mori. Multiple tree models for occlusion and spatial constraints in human pose estimation. In ECCV, 2008.
29. W. Yang, Y. Wang, and G. Mori. Recognizing human actions from still images with latent poses. In CVPR, 2010.
30. L. Zhu, Y. Chen, Y. Lu, C. Lin, and A. Yuille. Max margin AND/OR graph learning for parsing the human body. In CVPR, 2008.