Carnegie Mellon University
Algorithms for cooperative multisensor surveillance

Robert Collins, Alan Lipton, Hironobu Fujiyoshi, and Takeo Kanade
Proceedings of the IEEE, Vol. 89, No. 10, pp. 1456 - 1477, October, 2001.

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The Video Surveillance and Monitoring (VSAM) team at Carnegie Mellon University (CMU) has developed an end-to-end, multicamera 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 three-dimensional 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 multicamera testbed system developed on the campus of CMU. This paper presents an overview of the issues and algorithms involved in creating this semiautonomous, multicamera surveillance system.

Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Video Surveillance and Monitoring and People Image Analysis Consortium
Associated Project(s): Video Surveillance and Monitoring

Text Reference
Robert Collins, Alan Lipton, Hironobu Fujiyoshi, and Takeo Kanade, "Algorithms for cooperative multisensor surveillance," Proceedings of the IEEE, Vol. 89, No. 10, pp. 1456 - 1477, October, 2001.

BibTeX Reference
   author = "Robert Collins and Alan Lipton and Hironobu Fujiyoshi and Takeo Kanade",
   title = "Algorithms for cooperative multisensor surveillance",
   journal = "Proceedings of the IEEE",
   pages = "1456 - 1477",
   month = "October",
   year = "2001",
   volume = "89",
   number = "10",