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.
Abstract
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.
Full Paper
Click here for
full paper (183963 bytes, compressed using gzip).