Poselet conditioned pictorial structures

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

Volumn , Issue , 2013, Pages 588-595

  Pishchulin, Leonid ^a   Andriluka, Mykhaylo ^a   Gehler, Peter ^b   Schiele, Bernt ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

articulated pose estimation; part based models; pictorial structures; poselets

Indexed keywords

ARTICULATED POSE ESTIMATIONS; CONDITIONAL MODELS; HUMAN POSE ESTIMATIONS; PART-BASED MODELS; PEOPLE DETECTION; PICTORIAL STRUCTURES; POSELETS; STATE-OF-THE-ART METHODS;

COMPUTER SCIENCE; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

PATTERN RECOGNITION;

EID: 84887351384     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.82     Document Type: Conference Paper

References (26)

1. A. Agarwal and B. Triggs. Recovering 3D human pose from monocular images. PAMI'02. 3
2. M. Andriluka, S. Roth, and B. Schiele. Discriminative appearance models for pictorial structures. IJCV'11. 1, 3, 4
3. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR, 2009. 2, 3, 4, 5, 6, 7, 8
4. L. Bourdev, S. Maji, T. Brox, and J. Malik. Detecting people using mutually consistent poselet activations. In ECCV, 2010. 1
5. L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3D human pose annotations. In ICCV'09. 4
6. L. Clemmensen, T. Hastie, D. Witten, and B. Ersbll. Sparse discriminant analysis. Technometrics, 2011. 4
7. C. Desai and D. Ramanan. Detecting actions, poses, and objects with relational phraselets. In ECCV, 2012. 2
8. K. Duan, D. Batra, and D. Crandall. A multi-layer composite model for human pose estimation. In In BMVC'12. 7
9. M. Eichner and V. Ferrari. Appearance sharing for collective human pose estimation. In In ACCV'12. 5, 6
10. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. PAMI'10. 1, 3
11. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV'05. 1, 3
12. M. A. Fischler and R. A. Elschlager. The representation and matching of pictorial structures. IEEE Trans. Comput'73. 1
13. C. Ionescu, F. Li, and C. Sminchisescu. Latent structured models for human pose estimation. In ICCV'11. 3
14. S. Johnson and M. Everingham. Clustered pose and nonlinear appearance models for human pose estimation. In BMVC'10. 1, 2, 5
15. S. Johnson and M. Everingham. Learning Effective Human Pose Estimation from Inaccurate Annotation. In CVPR'11. 1, 7
16. L. Pishchulin, A. Jain, M. Andriluka, T. Thormaehlen, and B. Schiele. Articulated people detection and pose estimation: Reshaping the future. In CVPR, 2012. 4, 7
17. D. Ramanan. Learning to parse images of articulated objects. In NIPS'06. 5
18. G. Rogez, J. Rihan, S. Ramalingam, C. Orrite, and P. H. Torr. Randomized trees for human pose detection. In CVPR'08. 3
19. B. Sapp, C. Jordan, and B. Taskar. Adaptive pose priors for pictorial structures. In CVPR'10. 3
20. B. Sapp, D. Weiss, and B. Taskar. Parsing human motion with stretchable models. In CVPR, 2011. 1
21. M. Sun and S. Savarese. Articulated part-based model for joint object detection and pose estimation. In ICCV'11. 1, 2
22. T.-P. Tian and S. Sclaroff. Fast globally optimal 2d human detection with loopy graph models. In CVPR'10. 1
23. D. Tran and D. A. Forsyth. Improved human parsing with a full relational model. In ECCV, 2010. 1, 5
24. R. Urtasun and T. Darrell. Local probabilistic regression for activity-independent human pose inference. In ICCV'09. 3
25. Y. Wang, D. Tran, and Z. Liao. Learning hierarchical poselets for human parsing. In CVPR'11. 1, 2, 4, 7, 8
26. Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR'11. 1, 2, 3, 4, 6, 7