Abnormal crowd motion analysis

2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Volumn , Issue , 2009, Pages 1709-1714

  Cao, Tian ^a,b   Wu, Xinyu ^a   Guo, Jinnian ^a   Yu, Shiqi ^a   Xu, Yangsheng ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SICHUAN UNIVERSITY   (China)

Author keywords

Abnormal detection; Crowd analysis; Video surveillance

Indexed keywords

ABNORMAL BEHAVIOR; ABNORMAL DETECTION; ABNORMALITY DETECTION; CROWD ANALYSIS; MOTION ANALYSIS; MOTION CHARACTERISTICS; MOTION DIRECTION; MOTION VARIATION; MOTION VECTOR FIELD; MUTUAL INFORMATIONS; OPTICAL FLOW TECHNIQUES; PUBLIC SECURITY; VIDEO DATA; VIDEO SURVEILLANCE;

BIOMIMETICS; ELECTRON ENERGY LOSS SPECTROSCOPY; FEATURE EXTRACTION; KINETIC ENERGY; MONITORING; MOTION ESTIMATION; OPTICAL FLOWS; ROBOTICS; VIDEO AMPLIFIERS; VIDEO RECORDING;

SECURITY SYSTEMS;

EID: 77951493440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2009.5420408     Document Type: Conference Paper

References (16)

1. B. Zhan, D. Monekosso, P. Remagnino, S. Velastin, and L. Xu, "Crowd analysis: a survey," Machine Vision and Applications, vol. 19, no. 5, pp. 345-357, 2008.
2. A. Marana, S. Velastin, L. Costa, and R. Lotufo, "Automatic estimation of crowd density using texture," Safety Science, vol.28, no.3, pp. 165-175, 1998. (Pubitemid 28277335)
3. R. Ma, L. Li, W. Huang, and Q. Tian, "On pixel count based crowd density estimation for visual surveillance," in 2004 IEEE Conference on Cybernetics and Intelligent Systems, vol. 1, 2004.
4. P. Gabriel, J. Verly, J. Piater, and A. Genon, "The state of the art in multiple object tracking under occlusion in video sequences," in Advanced Concepts for Intelligent Vision Systems. Citeseer, 2003, pp. 166-173.
5. F. Cupillard, F. Brémond, and M. Thonnat, "Group behavior recognition with multiple cameras," in Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision. Citeseer, 2002, pp. 177-183.
6. E. Andrade, S. Blunsden, and R. Fisher, "Modelling crowd scenes for event detection," in ICPR 2006. 18th International Conference on Pattern Recognition, vol. 1, 2006.
7. E. Andrade., S. Blunsden, and R. Fisher, "Hidden markov models for optical flow analysis in crowds," Pattern Recognition, pp. 460-463, 2006.
8. S. Ali and M. Shah, "A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis," in IEEE CVPR, 2007.
9. N. Ihaddadene and C. Djeraba, "Real-time Crowd Motion Analysis," in ICPR 2008. 19th International Conference on Pattern Recognition, 2008, pp. 1-4.
10. Z. Zhong, W. Ye, S. Wang, M. Yang, and Y. Xu, "Crowd Energy and Feature Analysis," in IEEE International Conference on Integration Technology, 2007. ICIT'07, 2007, pp. 144-150.
11. R. Mehran, A. Oyama, and M. Shah, "Abnormal Crowd Behavior Detection using Social Force Model," in CVPR, vol. 1, 2009, p. 7.
12. C. Stauffer and W. Grimson, "Learning patterns of activity using realtime tracking," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 747-757, 2000.
13. B. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," in International joint conference on artificial intelligence, vol. 81, 1981, pp. 674-679.
14. Wikipedia, "Mutual information - wikipedia, the free encyclopedia," 2009. [Online]. Available: http://en.wikipedia.org/w/index. php?title=Mutual information
15. Wikipedia., "Entropy (information theory) - wikipedia, the free encyclopedia," 2009. [Online]. Available: http://en.wikipedia.org/w/index. php?title=Entropy (information theory)
16. J. Pluim, J. Maintz, and M. Viergever, "Mutual-information-based registration of medical images: a survey," IEEE transactions on medical imaging, vol. 22, no. 8, pp. 986-1004, 2003.