Multiple tree models for occlusion and spatial constraints in human pose estimation

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

Volumn 5304 LNCS, Issue PART 3, 2008, Pages 710-724

  Wang, Yang ^a   Mori, Greg ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FORESTRY; LEARNING ALGORITHMS;

CONNECTED BODIES; EFFICIENT LEARNING; HUMAN POSE ESTIMATIONS; INDIVIDUAL TREE MODEL; KINEMATIC CONSTRAINTS; OCCLUSION REASONING; SINGLE TREE MODEL; SPATIAL CONSTRAINTS;

LEARNING SYSTEMS;

ALGORITHMS; COMPUTERS; FORESTRY; HUMAN ENGINEERING; MATHEMATICAL MODELS; VISION; WORK STUDY;

EID: 56749168877     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88690-7_53     Document Type: Conference Paper

References (24)

1. Crandell, D., Felzenszwalb, P.F., Huttenlocher, D.P.: Spatial priors for part-based recognition using statistical models. In: IEEE CVPR (2005)
2. Felzenszwalb, P.F., Huttenlocher, D.P.: Pictorial structures for object recognition. International Journal of Computer Vision 61(1), 55-79 (2003)
3. Forsyth, D.A., Arikan, O., Ikemoto, L., O'Brien, J., Ramanan, D.: Computational studies of human motion: Part 1, tracking and motion synthesis. Foundations and Trends in Computer Graphics and Vision 1(2/3), 77-254 (2006)
4. Gross, R., Shi, J.: The emu motion of body(mobo) database. Technical Report CMU-RI-TR-01-18, CMU (2001)
5. Hogg, D.: Model-based vision: a program to see a walking person. Image and Vision Computing 1(1), 5-20 (1983)
6. Ioffe, S., Forsyth, D.: Human tracking with mixtures of trees. In: IEEE ICCV (2001)
7. Ju, S.X., Black, M.J., Yaccob, Y.: Cardboard people: A parameterized model of articulated image motion. In: Proc. Automatic Face and Gesture Recognition (1996)
8. Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: ICML (2001)
9. Lan, X., Huttenlocher, D.P.: Beyond trees: Common-factor models for 2d human pose recovery. In: IEEE ICCV (2005)
10. Meila, M., Jordan, M.I.: Learning with mixtures of trees. Journal of Machine Learning Research 1, 1-48 (2000)
11. 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)
12. Ramanan, D.: Learning to parse images of articulated bodies. In: NIPS 19 (2007)
13. Ren, X., Berg, A., Malik, J.: Recovering human body configurations using pairwise constraints between parts. In: IEEE ICCV (2005)
14. Shakhnarovich, G., Viola, P., Darrell, T.: Fast pose estimation with parameter sensitive hashing. In: IEEE ICCV (2003)
15. Sigal, L., Black, M.J.: Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In: IEEE CVPR (2006)
16. 3E: Discriminative Density Propagation for Visual Tracking. IEEE PAMI 29(11), 2030-2044 (2007)
17. Song, Y., Goncalves, L., Perona, P.: Unsupervised learning of human motion. IEEE Transaction on Pattern Analysis and Machine Intelligence 25(7), 814-827 (2003)
18. Sudderth, E.B., Mandel, M.I., Freeman, W.T., Willsky, A.S.: Distributed occlusion reasoning for tracking with nonparametric belief propagation. In: NIPS (2004)
19. Sullivan, J., Carlsson, S.: Recognizing and tracking human action. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 629-644. Springer, Heidelberg (2002)
20. Torralba, A., Murphy, K.P., Freeman, W.T.: Contextual models for object detection using boosted random fields. In: NIPS 17 (2005)
21. Toyama, K., Blake, A.: Probabilistic exemplar-based tracking in a metric space. In: IEEE ICCV (2001)
22. Truyen, T.T., Phung, D.Q., Bui, H.H., Venkatesh, S.: AdaBoost.MRF: Boosted markov random forests and application to multilevel activity recognition. In: IEEE CVPR (2006)
23. Wainwright, M.J., Jaakkola, T.S., Willsky, A.S.: A new class of upper bounds on the log partition function. IEEE Transactions on Information Theory 51(7), 2313-2335 (2005)
24. Wang, Y., Mori, G.: Boosted multiple deformable trees for parsing human poses. In: ICCV Workshop on Human Motion Understanding, Modeling, Capture and Animation (2007)