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Proceedings Paper

Multiple-target tracking in clutter with fuzzy logic
Author(s): Dalton Porter; Russell Priebe; Richard A. Jones
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Paper Abstract

A procedure for tracking multiple targets in clutter is presented. The procedure is similar in form to those that utilize probabilistic data association, but a fuzzy logic filter is utilized to provide weights and weighted innovations in a bank of Kalman filters adapted to the multiple target in clutter environment. Specifically, fuzzy logic is employed to evaluate returns for processing by a Kalman filter modified to treat target source uncertainty. The method is developed and demonstrated with a noise driven simulation and in actual forward looking infrared sequences (FLIR).

Paper Details

Date Published: 25 November 1992
PDF: 12 pages
Proc. SPIE 1697, Acquisition, Tracking, and Pointing VI, (25 November 1992); doi: 10.1117/12.138191
Show Author Affiliations
Dalton Porter, Univ. of Arkansas/Fayetteville (United States)
Russell Priebe, Univ. of Arkansas/Fayetteville (United States)
Richard A. Jones, Univ. of Arkansas/Fayetteville (United States)

Published in SPIE Proceedings Vol. 1697:
Acquisition, Tracking, and Pointing VI
Michael K. Masten; Larry A. Stockum, Editor(s)

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