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Proceedings Paper

A collaborative network of correlation filters for object recognition
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Paper Abstract

In this paper, we introduce a novel method where several sensors and ATRs collaborate to recognize objects. Such an approach would be suitable for network centric application where the sensors and platforms can coordinate to optimize over all ATR performance. We use correlation pattern recognition techniques to facilitate the development of the concept, although other algorithms may be easily substituted. Essetnially, a self-configuring network is proposed that positions the sensors optimally with respect to each other depending on the algorithm and the class of the object to be recognized. We show how such a network optimizes overall performance, and illustrate the scheme by means of examples.

Paper Details

Date Published: 23 October 2003
PDF: 8 pages
Proc. SPIE 5202, Optical Information Systems, (23 October 2003); doi: 10.1117/12.516097
Show Author Affiliations
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)
Alan J. Van Nevel, Naval Air Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 5202:
Optical Information Systems
Bahram Javidi; Demetri Psaltis, Editor(s)

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