Improved human parsing with a full relational model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6314 LNCS, Issue PART 4, 2010, Pages 227-240

  Tran, Duan ^a   Forsyth, David ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

APPROXIMATE INFERENCE; LEARNING PROCEDURES; RELATIONAL MODEL; STATE-OF-THE-ART METHODS; STRUCTURE-LEARNING; TREE MODELING; UPPER BODIES;

LEARNING SYSTEMS;

EID: 78149316204     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15561-1_17     Document Type: Conference Paper

References (32)

1. Andriluka, M., Roth, S., Schiele, B.: Pictorial structures revisited: People detection and articulated pose estimation. In: CVPR (2009)
2. Desai, C., Ramanan, D., Fowlkes, C.: Discriminative models for static human-object interactions (2010)
3. Eichner, M., Ferrari, V.: Better appearance models for pictorial structures. In: British Machine Vision Conference (2009)
4. Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Learning to describe objects. In: CVPR (2009)
5. Felzenszwalb, P., Huttenlocher, D.: Pictorial structures for object recognition. IJCV 61(1), 55-79 (2005)
6. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient matching of pictorial structures. In: CVPR (2000)
7. Felzenszwalb, P.F., McAllester, D.A., Ramanan, D.: A discriminatively trained, multiscale, deformable part model. In: CVPR (2008)
8. Fergus, R., Perona, P., Zisserman, A.: Object Class Recognition by Unsupervised Scale-Invariant Learning. In: CVPR (2003)
9. Ferrari, V., Marin, M., Zisserman, A.: Progressive search space reduction for human pose estimation. In: CVPR (2008)
10. Ioffe, S., Forsyth, D.: Finding people by sampling. In: ICCV, pp. 1092-1097 (1999)
11. Ioffe, S., Forsyth, D.: Human tracking with mixtures of trees. In: ICCV, pp. 690-695 (2001)
12. Jiang, H.: Human pose estimation using consistent max-covering. In: ICCV (2009)
13. Jiang, H., Martin, R.: Global pose estimation using non-tree models. In: CVPR (2008)
14. Johnson, S., Everingham, M.: Combining discriminative appearance and segmentation cues for articulated human pose estimation. In: MLVMA 2009 (2009)
15. Mori, G., Malik, J.: Estimating human body configurations using shape context matching. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 666-680. Springer, Heidelberg (2002)
16. Mori, G., Ren, X., Efros,A.A.,Malik, J.: Recovering human body configurations: Combining segmentation and recognition. In: CVPR (2004)
17. Platt, J.: Probabilities for sv machines. In: Advances in Neural Information Processing (1999)
18. Ramanan, D.: Learning to parse images of articulated bodies. In: Advances in Neural Information Processing (2006)
19. Ramanan, D., Forsyth, D., Barnard, K.: Building models of animals from video. PAMI 28(8), 1319-1334 (2006)
20. Ratliff, N., Bagnell, J.A., Zinkevich, M.: Subgradient methods for maximum margin structured learning. In: ICML 2006 Workshop on Learning in Structured Output Spaces (2006)
21. Ronfard, R., Schmid, C., Triggs, B.: Learning to parse pictures of people. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, p. 700. Springer, Heidelberg (2002)
22. Sapp, B., Jordan, C., Taskar, B.: Adaptive pose prior for pictorial structure. In: CVPR (2010)
23. Shechtman, E., Irani, M.: Matching local self-similarities across images and videos. In: CVPR (2007)
24. Sigal, L., Black, M.J.: Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In: CVPR (2006)
25. Song, Y., Feng, X., Perona, P.: Towards detection of human motion. In: CVPR, pp. 810-817 (2000)
26. Taskar, B.: Learning Structured Prediction Models: A Large Margin Approach. PhD thesis, Stanford University (2004)
27. Taskar, B., Lacoste-Julien, S., Jordan, M.: Structured prediction via the extragradient method. In: Neural Information Processing Systems Conference (2005)
28. Tian, T.-P., Sclaroff, S.: Fast globally optimal 2d human detection with loopy graph models. In: CVPR (2010)
29. Tran, D., Forsyth, D.: Configuration estimates improve pedestrian finding. In: Advances in Neural Information Processing (2007)
30. Tsochantaridis, I., Joachims, T., Hofmann, T., Altun, Y.: Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research (JMLR) 6, 1453-1484 (2005)
31. Varma,M., Zisserman, A.: A statistical approach to texture classification from single images. Int. J. Computer Vision 62(1-2), 61-81 (2005)
32. Yao, B., Fei-Fei, L.: Model mutual context of object and human pose in human-object interaction activities. In: CVPR (2010)