A collaborative network of correlation filters for object recognition

Abhijit Mahalanobis; Alan J. Van Nevel

doi:10.1117/12.516097

23 October 2003 A collaborative network of correlation filters for object recognition

Proceedings Volume 5202, Optical Information Systems; (2003) https://doi.org/10.1117/12.516097
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Abhijit Mahalanobis and Alan J. Van Nevel "A collaborative network of correlation filters for object recognition", Proc. SPIE 5202, Optical Information Systems, (23 October 2003); https://doi.org/10.1117/12.516097

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