Robert T. Collins, Alan J. Lipton, Hironobu Fujiyoshi and Takeo Kanade,
"Algorithms for Cooperative Multisensor Surveillance,"
Proceedings of the IEEE, Vol 89(10), Oct 2001, pp.1456-1477.


The Video Surveillance and Monitoring (VSAM) team at Carnegie Mellon University (CMU) has developed an end-to-end, multi-camera surveillance system that allows a single human operator to monitor activities in a cluttered environment using a distributed network of active video sensors. Video understanding algorithms have been developed to automatically detect people and vehicles, seamlessly track them using a network of cooperating active sensors, determine their 3D locations with respect to a geospatial site model, and present this information to a human operator who controls the system through a graphical user interface. The goal is to automatically collect and disseminate real-time information to improve the situational awareness of security providers and decision makers. The feasibility of real-time video surveillance has been demonstrated within a multi-camera testbed system developed on the campus of CMU. This paper presents an overview of the issues and algorithms involved in creating this semi-autonomous, multi-camera surveillance system.

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