Share Email Print
cover

Proceedings Paper

Methodology for designing an optimum fuzzy tracker using genetic algorithms
Author(s): Wen-Ruey Hwang; Wiley E. Thompson
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A methodology for designing an optimum fuzzy tracker is presented. The method uses genetic algorithms and is based upon minimizing a weighted combination of performance criteria. The resulting fuzzy tracker gives a performance that is superior to that of traditional trackers and shows a marked improvement over fuzzy trackers designed without the use of genetic algorithms. An application is provided to illustrate the effectiveness of the methodology.

Paper Details

Date Published: 10 June 1994
PDF: 8 pages
Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177733
Show Author Affiliations
Wen-Ruey Hwang, Tennessee State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 2232:
Signal Processing, Sensor Fusion, and Target Recognition III
Ivan Kadar; Vibeke Libby, Editor(s)

© SPIE. Terms of Use
Back to Top