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Proceedings Paper

Fuzzy-logic-based multitarget tracker
Author(s): Ahmed S. Gad; M. Farooq
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Paper Abstract

The problem of multisensor-multitarget tracking is mainly dependent on the data association. In this paper, the fuzzy logic-based single target tracker is extended to the multitarget case. Multitarget scenario incorporating four targets both maneuvering and non-maneuvering in the same surveillance volume is analyzed. The proposed multitarget tracker, also called the Multitarget Tracking - Fuzzy Data Association “MTT-FDA” tracker, employs fuzzy variables capable of resolving the problem of multiple crossing targets. These variables are the rate of change of the target states over a sliding window. It has been observed through simulations that a window size of five time scans is sufficient to yield acceptable results. Moreover, the proposed tracker was exercised against the realistic multitarget data set. The results reveal that the proposed fuzzy tracker yields superior performance compared to other existing tracking schemes.

Paper Details

Date Published: 9 August 2004
PDF: 12 pages
Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); doi: 10.1117/12.544438
Show Author Affiliations
Ahmed S. Gad, Royal Military College of Canada (Canada)
M. Farooq, Royal Military College of Canada (Canada)


Published in SPIE Proceedings Vol. 5429:
Signal Processing, Sensor Fusion, and Target Recognition XIII
Ivan Kadar, Editor(s)

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