Arun Hampapur
ABSTRACT
One of the key components of tele-presence systems is automatic awareness of the remote environment. This very same capability of automatic situation awareness is currently being developed and deployed in the context of the next generation smart surveillance systems. Smart surveillance systems use a number of automatic video analysis techniques like object detection, tracking and classification in conjunction with database and web application servers to provide users with the capability of distributed smart surveillance. The IBM smart surveillance system is one of the few advanced surveillance systems which provides not only the capability to automatically monitor a scene but also the capability to manage the surveillance data, perform event based retrieval, receive real time event alerts thru standard web infrastructure and extract long term statistical patterns of activity.
- A. Hampapur, L. Brown, J. Connell, S. Pankanti, A.W. Senior, and Y-L Tian, Smart Surveillance: Applications, Technologies and Implications, IEEE Pacific-Rim Conference On Multimedia, Singapore, Dec.Google Scholar
- A. Hampapur et al, The IBM Smart Surveillance System, Demonstration at IEEE CVPR 2004.Google Scholar
- PeopleVision: Demo videos of on going work at IBM research: www.research.ibm.com/peoplevision.Google Scholar
- A. Senior, A. Hampapur, Y-L. Tian, L. Brown, S. Pankanti, and R. Bolle. Appearance Models for Occlusion Handling. Proceedings of Workshop on Performance Evaluation of Tracking and Surveillance (PETS2001), December 2001.Google Scholar
Index Terms
- S3-R1: the IBM smart surveillance system-release 1
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