Takeo Kanade, Robert Collins, Alan Lipton, 
     P. Anandan, Peter Burt, and Lambert Wixson,
"Cooperative Multi-Sensor Video Surveillance,"
Darpa Image Understanding Workshop,
New Orleans, LA, May 11-14, 1997, pp. 3-10.


Carnegie Mellon University (CMU) and the David Sarnoff Research Center (Sarnoff) have begun a joint, integrated feasibility demonstration in the area of Video Surveillance and Monitoring (VSAM). The objective is to develop a cooperative, multi-sensor video surveillance system that provides continuous coverage over large battlefield areas. Image Understanding (IU) technologies will be developed to: 1) coordinate multiple sensors to seamlessly track moving targets over an extended area, 2) actively control sensor and platform parameters to track multiple moving targets, 3) integrate multi-sensor output with collateral data to maintain an evolving, scene-level representation of all targets and platforms, and 4) monitor the scene for unusual ``trigger'' events and activities. These technologies will be integrated into an experimental testbed to support evaluation, data collection, and demonstration of other VSAM technologies developed within the DARPA IU community.

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