Discriminative subvolume search for efficient action detection

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

Volumn , Issue , 2009, Pages 2442-2449

  Yuan, Junsong ^a   Liu, Zicheng ^b   Wu, Ying ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; EFFICIENCY; OBJECT DETECTION; OBJECT TRACKING; PATTERN MATCHING; THREE DIMENSIONAL COMPUTER GRAPHICS;

BACKGROUND SUBTRACTION; CLUTTER BACKGROUND; EFFECTIVENESS AND EFFICIENCIES; MUTUAL INFORMATION MAXIMIZATION; PARTIAL OCCLUSIONS; PATTERN VARIATION; SPATIO TEMPORAL INVARIANT; SPATIOTEMPORAL PATTERNS;

ARTS COMPUTING;

EID: 70450164163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206671     Document Type: Conference Paper

References (22)

1. S. Ali, A. Basharat, and M. Shah. Chaotic invariants for human action recognition. In Proc. IEEE International Conf. on Computer Vision, 2007.
2. J. Bentley. Programming pearls. Algorithm Design Techniques, 27(9):865-871, 1984.
3. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as spacetime shapes. In Proc. IEEE International Conf. on Computer Vision, 2005.
4. A. F. Bobick and J. W. Davis. The recognition of human movement using temporal templates. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 23(3):257-267, 2001.
5. O. Boiman, E. Shechtman, and M. Irani. In defense of nearest-neighbor based image classification. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
6. M. Datar, N. Immorlica, P. Indyk, and V. Mirrokni. Locality-sensitive hashing scheme based on p-stable distribution. In Proc. of Twentieth Annual Symposium on Computational Geometry, pages 253-262, 2004.
7. A. A. Efros, A. C.Berg, G. Mori, and J. Malik. Recognizing action at a distance. In Proc. IEEE International Conf. on Computer Vision, 2003.
8. A. Galata, N. Johnson, and D. Hogg. Learning variable-length markov models of behaviour. Computer Vision and Image Understanding (CVIU), 81:398-413, 2001.
9. Y. Ke, R. Sukthankar, and M. Hebert. Event detection in crowded videos. In Proc. IEEE International Conf. on Computer Vision, 2007.
10. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
11. I. Laptev. On space-time interest points. Intl. Journal of Computer Vision, 2005.
12. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
13. J. Liu, J. Luo, and M. Shah. Feature mining and fusion strategies for recognizing realistic actions from videos in the wild. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
14. T. B. Moeslund, A. Hilton, and V. Kruger. A survey of advances in vision-based human motion capture and analysis. Computer Vision and Image Understanding (CVIU), 104:90-126, 2006.
15. P. Natarajan and R. Nevatia. View and scale invariant action recognition using multiview shape-flow models. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
16. N. Nguyen, D. Phung, S. Venkatesh, and H. Bui. Learning and detecting activities from movement trajectories using the hierarchical hidden markov models. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
17. J. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. International Journal of Computer Vision, 79(3):299-318, 2008.
18. M. D. Rodriguez, J. Ahmed, and M. Shah. Action mach a spatio-temporal maximum average correlation height filter for action recognition. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
19. P. Scovanner, S. Ali, and M. Shah. A 3-dimensional sift descriptor and its application to action recognition. In Proc. ACM Multimedia, 2007.
20. E. Shechtman and M. Irani. Space-time behavior based correlation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
21. S. N. Vitaladevuni, V. Kellokumpu, and L. S. Davis. Action recognition using ballistic dynamics. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
22. A. Yilmaz and M. Shah. Actions as objects: a novel action representation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2005.