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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