Efficient activity detection with max-subgraph search

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 1274-1281

  Chen, Chao Yeh ^a   Grauman, Kristen ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY DETECTION; BRANCH-AND-CUT; DATA SETS; FAST METHODS; SEARCH STRATEGIES; SUBGRAPH PROBLEMS; TEST SEQUENCE;

ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

COMPUTER VISION;

EID: 84866665657     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247811     Document Type: Conference Paper

References (29)

1. J. Bentley. Programming pearls: algorithm design techniques. Commun. ACM, 27(9):865-873, Sept. 1984.
2. L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In ICCV, 2009.
3. L. Cao, Z. Liu, and T. S. Huang. Cross-dataset action recognition. In CVPR, 2010.
4. M. T. Dittrich, G.W. Klau, A. Rosenwald, T. Dandekar, and T. Mller. Identifying functional modules in protein-protein interaction networks: an integrated exact approach. Bioinformatics, 2008.
5. O. Duchenne, I. Laptev, J. Sivic, F. Bach, and J. Ponce. Automatic annotation of human actions in video. In ICCV, 2009.
6. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. PAMI, 32:1627-1645, 2010.
7. M. Hoai, Z.-Z. Lan, and F. De la Torre. Joint segmentation and classification of human actions in video. In CVPR, 2011.
8. T. Ideker, O. Ozier, B. Schwikowski, and A. F. Siegel. Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics, 2002.
9. Y. Ke, R. Sukthankar, and M. Hebert. Efficient visual event detection using volumetric features. In ICCV, 2005.
10. A. Kläser, M. Marszalek, and C. Schmid. A spatio-temporal descriptor based on 3d-gradients. In BMVC, 2008.
11. A. Kläser, M. Marszalek, C. Schmid, and A. Zisserman. Human focused action localization in video. In International Workshop on Sign, Gesture, Activity, 2010.
12. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In CVPR, 2008.
13. I. Laptev. On space-time interest points. IJCV, 64(2):107-123, 2005.
14. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, 2008.
15. I. Ljubic, R. Weiskircher, U. Pferschy, G. Klau, P. Mutzel, and M. Fischetti. An algorithmic framework for the exact solution of the prize-collecting Steiner tree problem. Math. Prog., 2006.
16. K. Mikolajczyk and H. Uemura. Action recognition with motionappearance vocabulary forest. In CVPR, 2008.
17. D. Moore, I. Essa, and M. Hayes. Exploiting human actions and object context for recognition tasks. In CVPR, 1999.
18. J. Niebles, H.Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. IJCV, 2008.
19. D. Ramanan and D. Forsyth. Automatic annotation of everyday movements. In NIPS, 2003.
20. M. D. Rodriguez, J. Ahmed, and M. Shah. Action mach: a spatiotemporal maximum average correlation height filter for action recognition. In CVPR, 2008.
21. S. Satkin and M. Hebert. Modeling the temporal extent of actions. In ECCV, 2010.
22. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004.
23. A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In CVPR, 2010.
24. S. Vijayanarasimhan and K. Grauman. Efficient region search for object detection. In CVPR, 2011.
25. H. Wang, M. M. Ullah, A. Kläser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC, 2009.
26. G.Willems, J. Becker, T. Tuytelaars, and L. V. Gool. Exemplar-based action recognition in video. In BMVC, 2009.
27. A. Yao, J. Gall, and L. van Gool. A Hough transform-based voting framework for action recognition. In CVPR, 2010.
28. G. Yu, J. Yuan, and Z. Liu. Unsupervised random forest indexing for fast action search. In CVPR, 2011.
29. J. Yuan, Z. Liu, and Y. Wu. Discriminative sub-volume search for efficient action detection. In CVPR, 2009.