Pose search: Retrieving people using their pose

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 1-8

  Ferrari, Vittorio ^c   Marin Jimenez, Manuel ^a   Zisserman, Andrew ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

BASELINE METHODS; EFFECTIVE SYSTEMS; FEATURE VECTORS; PICTORIAL STRUCTURES; POSE SEARCHES; SINGLE FRAMES; SPATIAL LAYOUT; UPPER BODIES;

COMPUTER VISION;

EID: 70450179995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206495     Document Type: Conference Paper

References (32)

1. http://www.robots.ox.ac.uk/»vgg/research/poseestimation/index.html.
2. A. Agarwal and B. Triggs. Tracking articulated motion using a mixture of autoregressive models. In ECCV, 2004.
3. O. Arandjelovic and A. Zisserman. Automatic face recognition for film character retrieval in feature-length films. In CVPR, 2005.
4. C. Bishop. Pattern recognition and machine learning. Springer, 2006.
5. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. In ICCV, 2005.
6. A. Bobick and J. Davis. The recognition of human movement using temporal templates. IEEE PAMI, 23(3):257-267, 2001.
7. Y. Y. Boykov and M. P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In ICCV, volume 2, pages 105-112, 2001.
8. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. In IEEE PAMI, 2002.
9. N. Dalal and B. Triggs. Histogram of Oriented Gradients for Human Detection. In CVPR, volume 2, pages 886-893, 2005.
10. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In ICCV VS-PETS, 2005.
11. A. Fathi and G. Mori. Action recognition by learning mid-level motion features. In CVPR, 2008.
12. P. Felzenszwalb and D. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1), 2005.
13. V. Ferrari, M. Marin-Jimenez, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR, Jun 2008.
14. N. Ikizler and P. Duygulu. Human action recognition using distribution of oriented rectangular patches. In ICCV workshop on Human Motion Understanding, 2007.
15. S. Ioffe and D. Forsyth. Finding people by sampling. In ICCV, 1999.
16. Y. Ke, R. Sukthankar, and M. Hebert. Spatio-temporal shape and flow correlation for action recognition. In CVPR, 2007.
17. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Learning layered pictorial structures from video. In ICVGIP, pages 148-153, 2004.
18. I. Laptev. Improvements of object detection using boosted histograms. In BMVC, 2006.
19. I. Laptev and P. Perez. Retrieving actions in movies. In ICCV, 2007.
20. M. Lee and R. Nevatia. Body part detection for human pose estimation and tracking. In Workshop on Motion and Video Computing, 2007.
21. B. Leibe, E. Seemann, and B. Schiele. Pedestrian detection in crowded scenes. In CVPR, 2005.
22. P. Li, H. Ai, Y. Li, and C. Huang. Video parsing based on head tracking and face recognition. In CIVR, 2007.
23. K. Mikolajczyk, C. Schmid, and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In ECCV. Springer-Verlag, May 2004.
24. G. Mori, X. Ren, A. Efros, and J. Malik. Recovering human body configurations: Combining segmentation and recognition. In CVPR, 2004.
25. J. Niebles and L. Fei-Fei. A hierarchical model model of shape and appearance for human action classification. In CVPR, 2007.
26. D. Ramanan. Learning to parse images of articulated bodies. In NIPS. MIT Press, 2006.
27. D. Ramanan, D. A. Forsyth, and A. Zisserman. Tracking people by learning their appearance. IEEE PAMI, 29(1):65-81, Jan 2007.
28. R. Ronfard, C. Schmid, and B. Triggs. Learning to parse pictures of people. In ECCV, 2002.
29. C. Rother, V. Kolmogorov, and A. Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. In SIGGRAPH, 2004.
30. L. Sigal and M. Black. Measure locally, reason globally: Occlusionsensitive articulated pose estimation. In CVPR, 2006.
31. J. Sivic, M. Everingham, and A. Zisserman. Person spotting: video shot retrieval for face sets. In CIVR, 2005.
32. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, 2003.