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RI | Publications | Algorithms for cooperative multisensor surveillance
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Algorithms for cooperative multisensor surveillance
R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade
Proceedings of the IEEE, Vol. 89, No. 10, October, 2001, pp. 1456 - 1477.
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| Abstract |
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.
| Notes |
Associated center: VASC
Associated labs/groups: People Image Analysis Consortium and Video Surveillance and Monitoring
Associated project: Video Surveillance and Monitoring
| Text Reference |
R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade, "Algorithms for cooperative multisensor surveillance," Proceedings of the IEEE, Vol. 89, No. 10, October, 2001, pp. 1456 - 1477.
| BibTeX Reference |
@article{Collins_2001_4127,
author = "Robert Collins and Alan Lipton and Hironobu Fujiyoshi and Takeo Kanade",
title = "Algorithms for cooperative multisensor surveillance",
journal = "Proceedings of the IEEE",
month = "October",
year = "2001",
volume = "89",
number = "10",
pages = "1456 - 1477"
}