Speeding up spatio-temporal sliding-window search for efficient event detection in crowded videos

1st ACM International Workshop on Events in Multimedia - EiMM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

Volumn , Issue , 2009, Pages 3-8

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

^a NORTHWESTERN UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Event detection; Sliding window; Spatio temporal pattern; Video pattern search

Indexed keywords

BRANCH-AND-BOUND SOLUTION; COMPUTATIONAL COSTS; DATA SETS; EVENT DETECTION; EVENT DETECTION IN VIDEO; EXHAUSTIVE SEARCH; HUMAN ACTIONS; OBJECT DETECTION; PATTERN SEARCH; SEARCH COMPLEXITY; SEARCH SPACES; SEARCH SPEED; SLIDING WINDOW; SLIDING WINDOW-BASED; SPATIAL IMAGES; SPATIAL SCALE; SPATIO-TEMPORAL; SPATIOTEMPORAL PATTERNS; SUBVOLUMES; TEMPORAL DURATIONS; VIDEO EVENTS;

METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; OBJECT RECOGNITION; STATISTICAL TESTS; WINDOWS;

BRANCH AND BOUND METHOD;

EID: 72049102437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631024.1631028     Document Type: Conference Paper

References (22)

1. 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.
2. 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.
3. H. Jiang, M. S. Drew, and Z.-N. Li. Successive convex matching for action detection. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2006.
4. Y. Ke, R. Sukthankar, and M. Hebert. Efficient visual event detection using volumetric features. In Proc. IEEE International Conf. on Computer Vision, 2005.
5. Y. Ke, R. Sukthankar, and M. Hebert. Event detection in crowded videos. In Proc. IEEE International Conf. on Computer Vision, 2007.
6. 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.
7. I. Laptev. On space-time interest points. Intl. Journal of Computer Vision, 2005.
8. 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.
9. Z. Li, Y. Fu, S. Yan, and T. S. Huang. Real-time human action recognition by luminance field trajectory analysis. In Proc. ACM Multimedia, 2008.
10. J. Liu and M. Shah. Learning human actions via information maximization. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
11. 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.
12. 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.
13. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: a local svm approach. In Proc. IEEE Conf. on Pattern Recognition, 2004.
14. P. Scovanner, S. Ali, and M. Shah. A 3-dimensional sift descriptor and its application to action recognition. In Proc. ACM Multimedia, 2007.
15. E. Shechtman and M. Irani. Space-time behavior based correlation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
16. J. Sun, X. Wu, S. Yan, L. Cheong, T. Chua, and J. Li. Hierarchical spatio-temporal context modeling for action recognition. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
17. 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.
18. S.-F. Wong, T.-K. Kim, and R. Cipolla. Learning motion categories using both semantic and structural information. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2007.
19. D. Xu and S.-F. Chang. Video event recognition using kernel methods with multi-level temporal alignment. IEEE Trans. on Pattern Analysis and Machine Intelligence, 30(11):1985-1997, 2008.
20. J. Yuan, Z. Liu, and Y. Wu. Discriminative subvolume search for efficient action detection. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
21. J. Yuan, J. Luo, H. Kautz, and Y. Wu. Mining gps traces and visual words for event classification. In Proc. ACM International Conference on Multimedia Information Retrieval, 2008.
22. J. Yuan, J. Luo, and Y. Wu. Mining compositional features for boosting. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.