A hierarchical context model for event recognition in surveillance video

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

Volumn , Issue , 2014, Pages 2561-2568

  Wang, Xiaoyang ^a   Ji, Qiang ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; IMAGE RESOLUTION; INFERENCE ENGINES; LARGE DATASET; SECURITY SYSTEMS; SEMANTICS;

CONTEXT INFORMATION; CONTEXT MODELING; EVENT RECOGNITION; INFERENCE ALGORITHM; INTRA-CLASS VARIATION; SEMANTIC LEVELS; SURVEILLANCE VIDEO; VARIATIONAL-BAYES METHOD;

PATTERN RECOGNITION;

EID: 84911424516     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.328     Document Type: Conference Paper

References (40)

1. M. R. Amer and S. Todorovic. Sum-product networks for modeling activities with stochastic structure. In CVPR, pages 1314-1321. IEEE, 2012.
2. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. PAMI, IEEE Transactions on, 24(4):509-522, 2002.
3. 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.
4. R. Cutler and M. Turk. View-based interpretation of real-time optical flow for gesture recognition. In Automatic Face and Gesture Recognition, 1998.
5. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
6. S. Divvala, D. Hoiem, J. Hays, A. Efros, and M. Hebert. An empirical study of context in object detection. In CVPR, pages 1271-1278, june 2009.
7. A. C. Gallagher and T. Chen. Estimating age, gender, and identity using first name priors. In CVPR, pages 1-8. IEEE, 2008.
8. C. Galleguillos and S. Belongie. Context based object categorization: A critical survey. Computer Vision and Image Understanding, 114(6):712-722, 2010.
9. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri. Actions as spacetime shapes. PAMI, IEEE Transactions on, 29(12):2247-2253, dec. 2007.
10. A. Gupta and L. Davis. Objects in action: An approach for combining action understanding and object perception. In CVPR, pages 1-8, june 2007.
11. X. He, R. S. Zemel, and M. A. Carreira-Perpinán. Multiscale conditional random fields for image labeling. In CVPR, volume 2, pages II-695, 2004.
12. Y. Jiang, H. Koppula, and A. Saxena. Hallucinated humans as the hidden context for labeling 3d scenes. In CVPR, 2013.
13. Y. Jiang, M. Lim, and A. Saxena. Learning object arrangements in 3d scenes using human context. ICML, 2012.
14. Y.-G. Jiang, C.-W. Ngo, and J. Yang. Towards optimal bag-of-features for object categorization and semantic video retrieval. In Inter. Conf. on Image and Video retrieval, 2007.
15. A. Kovashka and K. Grauman. Learning a hierarchy of discriminative spacetime neighborhood features for human action recognition. In CVPR, 2010.
16. S. Kumar and M. Hebert. A hierarchical field framework for unified context-based classification. In ICCV, volume 2, pages 1284-1291, 2005.
17. T. Lan, Y. Wang, W. Yang, S. N. Robinovitch, and G. Mori. Discriminative latent models for recognizing contextual group activities. PAMI, 2012.
18. I. Laptev. On space-time interest points. International Journal of Computer Vision, 64(2-3):107-123, 2005.
19. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, pages 1-8, june 2008.
20. L.-J. Li and L. Fei-Fei. What, where and who? classifying events by scene and object recognition. In ICCV, pages 1-8, oct. 2007.
21. F. Lv and R. Nevatia. Recognition and segmentation of 3-d human action using hmm and multi-class adaboost. In ECCV, pages 359-372. Springer, 2006.
22. M. Marszalek, I. Laptev, and C. Schmid. Actions in context. In CVPR, pages 2929-2936, june 2009.
23. J. C. Niebles and L. Fei-Fei. A hierarchical model of shape and appearance for human action classification. In CVPR, pages 1-8, 2007.
24. S. Oh and et al. A large-scale benchmark dataset for event recognition in surveillance video. In CVPR, pages 3153-3160, june 2011.
25. S. Oh and A. Hoogs. Unsupervised learning of activities in video using scene context. In ICPR, pages 3579-3582, 2010.
26. S. Park and J. K. Aggarwal. A hierarchical bayesian network for event recognition of human actions and interactions. Multimedia systems, 2004.
27. K. K. Reddy, N. Cuntoor, A. Perera, and A. Hoogs. Human action recognition in large-scale datasets using histogram of spatiotemporal gradients. In Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on, pages 106-111. IEEE, 2012.
28. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: a local svm approach. In ICPR, volume 3, pages 32-36 Vol.3, aug. 2004.
29. X. Shen and Y. Wu. A unified approach to salient object detection via low rank matrix recovery. In CVPR, pages 853-860, 2012.
30. E. B. Sudderth, A. Torralba, W. T. Freeman, and A. S. Willsky. Learning hierarchical models of scenes, objects, and parts. In ICCV, 2005.
31. J. Sun, X. Wu, S. Yan, L.-F. Cheong, T.-S. Chua, and J. Li. Hierarchical spatiotemporal context modeling for action recognition. In CVPR, 2009.
32. A. Torralba. Contextual priming for object detection. International Journal of Computer Vision, 53(2):169-191, 2003.
33. D. L. Vail, M. M. Veloso, and J. D. Lafferty. Conditional random fields for activity recognition. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, page 235. ACM, 2007.
34. J. Wang, Z. Chen, and Y. Wu. Action recognition with multiscale spatiotemporal contexts. In CVPR, pages 3185-3192, june 2011.
35. X. Wang and Q. Ji. Incorporating contextual knowledge to dynamic bayesian networks for event recognition. In ICPR, 2012.
36. G. Yang, Y. Lin, and P. Bhattacharya. A driver fatigue recognition model based on information fusion and dynamic bayesian network. Information Sciences, 180(10):1942-1954, 2010.
37. B. Yao and L. Fei-Fei. Grouplet: A structured image representation for recognizing human and object interactions. In CVPR, 2010.
38. B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, pages 17-24, june 2010.
39. F. Zhu, L. Shao, and M. Lin. Multi-view action recognition using local similarity random forest and sensor fusion. Pattern Recognition Letters, 2013.
40. Y. Zhu, N. Nayak, and K. Roy-Chowdhury. Context-aware modeling and recognition of activities in video. In CVPR, 2013.