Joint inference of groups, events and human roles in aerial videos

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

Volumn 07-12-June-2015, Issue , 2015, Pages 4576-4584

  Shu, Tianmin ^a   Xie, Dan ^a   Rothrock, Brandon ^b   Todorovic, Sinisa ^c   Zhu, Song Chun ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c OREGON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DYNAMIC PROGRAMMING; MARKOV PROCESSES;

AERIAL VIDEO; AERIAL VIDEO ANALYSIS; LOW RESOLUTION; MARKOV CHAIN MONTE-CARLO; SPATIAL AREA; SUB-EVENTS; TRACKLETS;

PATTERN RECOGNITION;

EID: 84959200790     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299088     Document Type: Conference Paper

References (41)

1. R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Slisstrunk. Slic superpixels compared to state-of-the-art superpixe1 methods. IEEE TPAMI, 34(11):2274-2282, 2012.
2. AFRL. WPAFB, 2009. https:llwww. sdms. Afrl. Af. mil/index. php?collection=wpa1b2009.
3. S. Ali, V. Reilly, and M. Shah. Motion and appearance contexts for tracking and re-acquiring targets in aerial videos. In CVPR, 2007.
4. M. R. Amer, D. Xie, M. Zhao, S. Todorovic, and S.-C. Zhu. Cost-sensitive top-down/bottom-up inference for multiscale activity recognition. In ECCV, 2012.
5. B. Antic and B. Ommer. Learning latent constituents for recognition of group activities in video. In ECCV, 2014.
6. W. Choi, Y. W. Chao, C. Pantofaru, and S. Savarese. Discovering groups of people in images. In ECCV, 2014.
7. W. Choi and S. Savarese. Understanding collective activities of people from videos. IEEE TPAMI, 36(6):1242-1257, 2014.
8. W. Choi, K. Shahid, and S. Savarese. What are they doing: Collective activity classification using spatio-temporal relationship among people. In CVPR Workshops, 2009.
9. A. Fathi, J. K. Hodgins, and J. M. Rehg. Social interactions: A first-person perspective. In CVPR, 2012.
10. w. Ge, T. R. Collins, and R. B. Ruback. Vision-based analysis of small groups in pedestrian crowds. IEEE TPAMI, 34(5):1003-1016, 2012.
11. A. Gupta, P. Srinivasan, J. Shi, and L. S. Davis. Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. In CVPR, 2009.
12. Y. Iwashita, M. Ryoo, T. J. Fuchs, and C. Padgett. Recognizing humans in motion: Trajectory-based aerial video analysis. In BMVC, 2013.
13. M. Keck, L. Galup, and C. Stauffer. Real-time tracking of low-resolution vehicles for wide-area persistent surveillance. In WACV, 2013.
14. S. Kwak, B. Han, and J.H. Han. Multi-agent event detection: Localization and role assignment. In CVPR, 2013.
15. J. Kwon and K. M. Lee. Wang-landau monte carlobased tracking methods for abrupt motions. IEEE TPAMI, 35(4):1011-1024, 2012. 2
16. T. Lan, L. Sigal, and G. Mori. Social roles in hierarchical models for human activity recognition. In CVPR, 2012.
17. T. Lan, Y. Wang, W. Yang, S. N. Robinovitch, and G. Mori. Discriminative latent models for recognizing contextual group activities. IEEE TPAMI, 34(8):1549-1562, 2012.
18. R. Li, P. Porfilio, and T. Zickler. Finding group interactions in social clutter. In CVPR, 2013.
19. L. Lin, H. Gong, L. Li, and L. Wang. Semantic event representation and recognition using syntactic attribute graph grammar. PRL, 30(2):180-186, 2009.
20. C. C. Loy, T. Xiang, and S. Gong. Incremental activity modelling in multiple disjoint cameras. IEEE TPAMI, 34(9):1799-1813, 2012. 3
21. R. Nevatia, T. Zhao, and S. Hongeng. Hierarchical 1anguagebased representation of events in video streams. In IEEE Workshop on Event Mining, 2003.
22. S. Oh et al. A large-scale benchmark dataset for event recognition in surveillance video. In CVPR, 2011.
23. O. Oreifej, R. Mehran, and M. Shah. Human identity recognition in aerial images. In CVPR, 2010.
24. M. Pei, Z. Si, B. Yao, and S.-C. Zhu. Video event parsing and learning with goal and intent prediction. CVIU, 117(10):1369-1383, 2013.
25. S. Pellegrini, A. Ess, K. Schindler, and L. van Gool. You'll never walk alone: Modeling social behavior for multi-target tracking. In ICCV, 2009.
26. H. Pirsiavash and D. Ramanan. Parsing videos of actions with segmental grammars. In CVPR, 2014.
27. T. Pollard and M. Antone. Detecting and tracking all moving objects in wide-area aerial video. In CVPR Workshops, 2012.
28. J. Porway, K. Wang, and S.-C. Zhu. A hierarchical and contextual model for aerial image parsing. IJCV, 88(2):254-283, 2010.
29. J. Prokaj and M. Gerard. Persistent tracking for wide area aerial surveillance. In CVPR, 2014.
30. V. Ramananthan, B. Yao, and L. Fei-Fei. Social role discovery in human events. In CVPR, 2013.
31. B. Rothrock, S. Park, and S.-C. Zhu. Integrating grammar and segmentation for human pose estimation. In CVPR, 2013.
32. M. S. Ryoo and J. K. Aggarwal. Stochastic representation and recognition of high-level group activities. IJCV, 93(2):183-200, 2011.
33. A. Sobral. BGSLibrary: An opencv c++ background subtraction library. In IX Workshop de Visao Computacional (WVC'2013), 2013.
34. L. Sun, H. Ai, and S. Lao. Activity group localization by modeling the relations among participants. In ECCV, 2014.
35. E. Swears, A. Hoogs, Q. Ji, and K. Boyer. Complex activity recognition using granger constrained dbn (gcdbn) in sports and surveillance video. In CVPR, 2014.
36. K. Tu, M. Meng, M. W. Lee, T. E. Choi, and S.-C. Zhu. Joint video and text parsing for understanding events and answering queires. IEEE MultiMedia, 21(2):42-70, 2014.
37. C. Vondrick, D. Patterson, and D. Ramanan. Efficiently scaling up crowdsourced video annotation. llCV, 101(1):184-204, 2013.
38. J. Xiao, H. Cheng, H. Sawhney, and F. Han. Vehicle detection and tracking in wide fie1d-of-view aerial video. In CVPR, 2010.
39. D. Xie, S. Todorovic, and S.-C. Zhu. Inferring "dark matter" and "dark energy" from videos. In ICCV, 2013.
40. J. Yao and J.-M. Odobez. Multi-layer background subtraction based on color and texture. In CVPR Workshops, 2007.
41. J. Zhang, W. Hu, B. Z. Yao, Y. Wang, and S.-C. Zhu. Inferring social roles in long timespan video sequence. In ICCV Workshops, 2011.