2D human pose estimation in TV shows

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

Volumn 5604 LNCS, Issue , 2009, Pages 128-147

  Ferrari, Vittorio ^a   Marín Jiménez, Manuel ^b   Zisserman, Andrew ^c  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF GRANADA   (Spain)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BODY PARTS; DATA SETS; FEATURE FILMS; FULL BODY; HUMAN POSE ESTIMATIONS; POSE ESTIMATION; SEARCH SPACES; SPATIO-TEMPORAL; TEMPORAL CONTINUITY; VIDEO FRAME;

MOTION ESTIMATION; MOTION PICTURES; VISION;

IMAGE RECOGNITION;

EID: 84872232274     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03061-1_7     Document Type: Conference Paper

References (33)

1. Agarwal, A., Triggs, B.: 3d human pose from silhouettes by relevance vector regression. In: CVPR (2004)
2. Agarwal, A., Triggs, B.: Tracking articulated motion using a mixture of autoregressive models. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3023, pp. 54-65. Springer, Heidelberg (2004)
3. The recent work of [32] proceeds without background subtraction at test time, but uses it for training.
4. Andriluka, M., Roth, S., Schiele, B.: People-tracking-by-detection and people-detection-bytracking. In: CVPR (2008)
5. Bishop, C.: Pattern recognition and machine learning. Springer, Heidelberg (2006)
6. Blank, M., Gorelick, L., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. In: ICCV (2005)
7. Bray, M., Kohli, P., Torr, P.: Posecut: Simultaneous segmentation and 3d pose estimation of humans using dynamic graph-cuts. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part II. LNCS, vol. 3952, pp. 642-655. Springer, Heidelberg (2006)
8. Dalal, N., Triggs, B.: Histogram of Oriented Gradients for Human Detection. In: CVPR, vol. 2, pp. 886-893 (2005)
9. Davis, J., Bobick, A.: The representation and recognition of action using temporal templates. In: CVPR (1997)
10. Felzenszwalb, P., Huttenlocher, D.: Pictorial structures for object recognition. IJCV 61(1) (2005)
11. Ferrari, V., Marin-Jimenez, M., Zisserman, A.: Progressive search space reduction for human pose estimation. In: CVPR (June 2008)
12. Ferrari, V., Tuytelaars, T., Van Gool, L.: Real-time affine region tracking and coplanar grouping. In: CVPR (2001)
13. Gammeter, S., Ess, A., Jaeggli, T., Schindler, K., Van Gool, L.: Articulated multi-body tracking under egomotion. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 816-830. Springer, Heidelberg (2008)
14. Ikizler, N., Duygulu, P.: Human action recognition using distribution of oriented rectangular patches. In: ICCV workshop on Human Motion Understanding (2007)
15. Jojic, N., Winn, J., Zitnick, L.: Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. In: CVPR (2006)
16. Kumar, M.P., Torr, P.H.S., Zisserman, A.: Learning layered pictorial structures from video. In: ICVGIP, pp. 148-153 (2004)
17. Kumar, M.P., Torr, P.H.S., Zisserman, A.: Learning layered motion segmentations of video. In: ICCV (2005)
18. Laptev, I.: Improvements of object detection using boosted histograms. In: BMVC (2006)
19. Laptev, I., Perez, P.: Retrieving actions in movies. In: ICCV (2007)
20. Lin, Z., Davis, L., Doermann, D., DeMenthon, D.: An interactive approach to pose-assisted and appearance-based segmentation of humans. In: ICCV workshop on Interactive Computer Vision (2007)
21. Mori, G., Ren, X., Efros, A., Malik, J.: Recovering human body configurations: Combining segmentation and recognition. In: CVPR (2004)
22. Niebles, J., Fei-Fei, L.: A hierarchical model model of shape and appearance for human action classification. In: CVPR (2007)
23. Ozuysal, M., Lepetit, V., Fleuret, F., Fua, P.: Feature harvesting for tracking-by-detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3953, pp. 592-605. Springer, Heidelberg (2006)
24. Ramanan, D.: Learning to parse images of articulated bodies. In: NIPS (2006)
25. Ramanan, D., Forsyth, D.A., Zisserman, A.: Strike a pose: Tracking people by finding stylized poses. In: CVPR, vol. 1, pp. 271-278 (2005)
26. Rother, C., Kolmogorov, V., Blake, A.: Grabcut: interactive foreground extraction using iterated graph cuts 23(3), 309-314 (2004)
27. Schroff, F., Criminisi, A., Zisserman, A.: Single-histogram class models for image segmentation. In: Kalra, P.K., Peleg, S. (eds.) ICVGIP 2006. LNCS, vol. 4338, pp. 82-93. Springer, Heidelberg (2006)
28. Shechtman, E., Irani, M.: Matching local self-similarities across images and videos. In: CVPR (2007)
29. Sigal, L., Bhatia, S., Roth., S., Black,M., Isard, M.: Tracking loose-limbed people. In: CVPR (2004)
30. Sigal, L., Black, M.J.: Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In: CVPR, vol. 2, pp. 2041-2048 (2006)
31. Sivic, J., Everingham, M., Zisserman, A.: Person spotting: video shot retrieval for face sets. In: Leow, W.-K., Lew, M., Chua, T.-S., Ma, W.-Y., Chaisorn, L., Bakker, E.M. (eds.) CIVR 2005. LNCS, vol. 3568, pp. 226-236. Springer, Heidelberg (2005)
32. Sminchisescu, C., Triggs, B.: Estimating articulated human motion with covariance scaled sampling. In: IJRR (2003)
33. Thurau, C., Hlavac, V.: Pose primitive based human action recognition in videos or still images. In: CVPR (2008)