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Proceedings Paper

Modular area surveillance system
Author(s): Phil Greenway
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Paper Abstract

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.

Paper Details

Date Published: 22 July 1994
PDF: 12 pages
Proc. SPIE 2217, Aerial Surveillance Sensing Including Obscured and Underground Object Detection, (22 July 1994); doi: 10.1117/12.179947
Show Author Affiliations
Phil Greenway, British Aerospace plc (United Kingdom)


Published in SPIE Proceedings Vol. 2217:
Aerial Surveillance Sensing Including Obscured and Underground Object Detection
Ivan Cindrich; Nancy DelGrande; Sankaran Gowrinathan; Peter B. Johnson; James F. Shanley, Editor(s)

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