Human interaction analysis based on walking pattern transitions

2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009

Volumn , Issue , 2009, Pages

  Habe, Hitoshi ^a   Honda, Kazuhisa ^a   Kidode, Masatsugu ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALOUS EVENTS; HUMAN INTERACTION ANALYSIS; TRANSITION POINT; VIDEO SEQUENCES; WALKING PATTERN;

SENSORS; VIDEO RECORDING;

CAMERAS;

EID: 72149114860     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSC.2009.5289357     Document Type: Conference Paper

References (10)

1. R. T. Collins, A. J. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, P. Burt, and L. Wixson, "A system for video surveillance and monitoring, " Carnegie Mellon University, Tech. Rep. CMU-RI-TR-00-12, 2000.
2. S. Park and M. M. Trivedi, "Understanding human interactions with track and body synergies (tbs) captured from multiple views, " Computer Vision and Image Understanding, vol. 111, pp. 2-20, 2008.
3. N. M. Oliver, B. Rosario, and A. P. Pentland, "A Bayesian computer vision system for modeling human interactions, " PAMI, vol. 22, no. 8, pp. 831-843, August 2000.
4. K. Suzuki, K. Takashio, H. Tokuda, M. Wada, Y. Matsuki, and K. Umeda, "Toward real-time extraction of pedestrian contexts with stereo camera, " in The 5th International Conference on Networked Sensing Systems (INSS 2008), 2008.
5. A. Basharat, A. Gritai, and M. Shah, "Learning object motion patterns for anomaly detection and improved object detection, " in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2008.
6. H. Asama, A. Morimoto, K. Kawabata, and Y. Hada, "A human behavior discrimination method based on motion trajectory measurement for indoor guiding services, " in Proceedings of Intelligent Autonomous Systems 9 (IAS-9), 2006, pp. 891-902.
7. B. T. Morris and M. M. Trivedi, "A survey of vision-based trajectory learning and analysis for surveillance, " IEEE Trans. Circuits Syst. Video Technol. Special Issue on Video Surveillance, vol. 18, no. 8, pp. 1114-1127, 2008. [Online]. Available:http://cvrr.ucsd.edu/bmorris/.
8. A. Mecocci and M. Pannozzo, "A completely autonomous system that learns anomalous movements in advanced videosurveillance applications, " in IEEE International Conference on Image Processing, vol. 2, 2005, pp. II-586. [Online]. Available: http://ieeexplore.ieee.org/xpl/freeabsall.jsp?arnumber= 1530123.
9. A. Prati, S. Calderara, and R. Cucchiara, "Using circular statistics for trajectory shape analysis, " in Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 0. Los Alamitos, CA, USA: IEEE Computer Society, 2008, pp. 1-8.
10. M. Nishiyama, H. Kawashima, T. Hirayama, and T. Matsuyama, "Facial expression representation based on timing structures in faces, " in IEEE International Workshop on Analysis and Modeling of Faces and Gestures, 2005, pp. 140-154.