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This paper describes the implementation of a modular, decentralized surveillance system which incorporates a range of sensors including TV cameras, ultra-sonic and IR devices, and optical barriers. The key features of the approach are fault tolerance, modularity, and scalability, which are achieved through the use of a Decentralized Kalman Filter (DKF) as the main data association and tracking technique, and Dempster- Schafer evidential reasoning as the basis for combining estimates of target identity from the various sensors. The surveillance system is able to track multiple objects from multiple sensors, and can provide estimates of target identity fused over time. Results are communicated to the user through a graphical interface implemented under X Windows, which supports the designation of 'exclusion zones' where the user can specify conditions for the triggering of an alarm.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phil Greenway "Modular area surveillance system", Proc. SPIE 2217, Aerial Surveillance Sensing Including Obscured and Underground Object Detection, (22 July 1994);


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