Action localization in videos through context walk

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3280-3288

  Soomro, Khurram ^a   Idrees, Haroon ^a   Shah, Mubarak ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION;

CONDITIONAL DISTRIBUTION; CONDITIONAL RANDOM FIELD; CONTEXT INFORMATION; RELATIVE DISPLACEMENT; RELATIVE LOCATION; SHARP CONTRAST; SLIDING WINDOW;

COMPUTER VISION;

EID: 84973931629     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.375     Document Type: Conference Paper

References (40)

1. Trecvid multimedia event recounting evaluation track. http://www. nist. gov/itl/iad/mig/mer. cfm.
2. J. K. Aggarwal and M. S. Ryoo. Human activity analysis: A review. ACM Computing Surveys (CSUR), 43(3), 2011.
3. B. Alexe, N. Hees, Y. Teh, and V. Ferrari. Searching for objects driven by context. In NIPS, 2012.
4. W. Chen, C. Xiong, R. Xu, and J. J. Corso. Actionness ranking with lattice conditional ordinal random fields. In CVPR, 2014.
5. M. J. Choi, J. J. Lim, A. Torralba, and A. S. Willsky. Exploiting hierarchical context on a large database of object categories. In CVPR, 2010.
6. C. Desai and D. Ramanan. Detecting actions, poses, and objects with relational phraselets. In ECCV. 2012.
7. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. IEEE TPAMI, 32(9), 2010.
8. A. Gupta and L. S. Davis. Objects in action: An approach for combining action understanding and object perception. In CVPR, 2007.
9. D. Han, L. Bo, and C. Sminchisescu. Selection and context for action recognition. In ICCV, 2009.
10. G. Heitz and D. Koller. Learning spatial context: Using stuff to find things. In ECCV. 2008.
11. Y. Hu, L. Cao, F. Lv, S. Yan, Y. Gong, and T. S. Huang. Action detection in complex scenes with spatial and temporal ambiguities. In ICCV, 2009.
12. N. Ikizler-Cinbis and S. Sclaroff. Object, scene and actions: Combining multiple features for human action recognition. In ECCV. 2010.
13. M. Jain, J. Gemert, H. Jegou, P. Bouthemy, and C. Snoek. Action localization with tubelets from motion. In CVPR, 2014.
14. M. Jain, J. C. van Gemert, and C. G. Snoek. What do 15, 000 object categories tell us about classifying and localizing actions? In CVPR, 2015.
15. H. Jhuang, J. Gall, S. Zuffi, C. Schmid, and M. J. Black. Towards understanding action recognition. In ICCV, 2013.
16. Y.-G. Jiang, J. Liu, A. Roshan Zamir, I. Laptev, M. Piccardi, M. Shah, and R. Sukthankar. THUMOS challenge: Action recognition with a large number of classes. http: //crcv. ucf. edu/ICCV13-Action-Workshop/, 2013.
17. Y. Ke, R. Sukthankar, and M. Hebert. Event detection in crowded videos. In ICCV, 2007.
18. T. Lan, Y. Wang, and G. Mori. Discriminative figure-centric models for joint action localization and recognition. In ICCV, 2011.
19. S. Ma, J. Zhang, N. Ikizler-Cinbis, and S. Sclaroff. Action recognition and localization by hierarchical space-time segments. In ICCV, 2013.
20. M. Marszalek, I. Laptev, and C. Schmid. Actions in context. In CVPR, 2009.
21. M. Norouzi, A. Punjani, and D. J. Fleet. Fast search in hamming space with multi-index hashing. In CVPR, 2012.
22. D. Oneata, J. Revaud, J. Verbeek, and C. Schmid. Spatiotemporal object detection proposals. In ECCV. 2014.
23. D. Oneata, J. Verbeek, and C. Schmid. Efficient action localization with approximately normalized fisher vectors. In CVPR, 2014.
24. M. Rodriguez, A. Javed, and M. Shah. Action mach: A spatio-temporal maximum average correlation height filter for action recognition. In CVPR, 2008.
25. J. Sun, X. Wu, S. Yan, L.-F. Cheong, T.-S. Chua, and J. Li. Hierarchical spatio-temporal context modeling for action recognition. In CVPR, 2009.
26. Y. Tian, R. Sukthankar, and M. Shah. Spatiotemporal deformable part models for action detection. In CVPR, 2013.
27. D. Tran and J. Yuan. Max-margin structured output regression for spatio-temporal action localization. In NIPS, 2012.
28. D. Tran, J. Yuan, and D. Forsyth. Video event detection: From subvolume localization to spatiotemporal path search. IEEE TPAMI, 36(2), 2014.
29. J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders. Selective search for object recognition. IJCV, 104(2), 2013.
30. H. Wang and C. Schmid. Action recognition with improved trajectories. In ICCV, 2013.
31. L. Wang, Y. Qiao, and X. Tang. Video action detection with relational dynamic-poselets. In ECCV. 2014.
32. T. Wang, S. Wang, and X. Ding. Detecting human action as the spatio-temporal tube of maximum mutual information. IEEE TCSVT, 24(2), 2014.
33. D. Weinland, R. Ronfard, and E. Boyer. A survey of visionbased methods for action representation, segmentation and recognition. CVIU, 115(2), 2011.
34. X. Wu, D. Xu, L. Duan, and J. Luo. Action recognition using context and appearance distribution features. In CVPR, 2011.
35. Y. Xie, H. Chang, Z. Li, L. Liang, X. Chen, and D. Zhao. A unified framework for locating and recognizing human actions. In CVPR, 2011.
36. G. Yu, N. A. Goussies, J. Yuan, and Z. Liu. Fast action detection via discriminative random forest voting and top-k subvolume search. Multimedia, IEEE Transactions on, 13(3), 2011.
37. G. Yu and J. Yuan. Fast action proposals for human action detection and search. In CVPR, 2015.
38. J. Yuan, Z. Liu, and Y. Wu. Discriminative video pattern search for efficient action detection. IEEE TPAMI, 33(9), 2011.
39. Z. Zhang, Y. Hu, S. Chan, and L.-T. Chia. Motion context: A new representation for human action recognition. In ECCV. 2008.
40. Z. Zhou, F. Shi, and W. Wu. Learning spatial and temporal extents of human actions for action detection. Multimedia, IEEE Transactions on, 17(4), 2015.