Fuzzy logic extended rule set for multitarget tracking

Michael J. Horton; Richard A. Jones

doi:10.1117/12.210422

26 May 1995 Fuzzy logic extended rule set for multitarget tracking

Michael J. Horton, Richard A. Jones

Proceedings Volume 2468, Acquisition, Tracking, and Pointing IX; (1995) https://doi.org/10.1117/12.210422
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

An extended rule set multitarget tracking system based on fuzzy logic is discussed. The system that we describe utilizes fuzzy logic principles in a Kalman-type fuzzy tracking filter for the purpose of drastically reducing computation overhead. The tracking problem is modelled as a discrete time system in the standard state form. Rather that employing the Kalman filter, an extended rule set is used at each iteration to update an estimate of the target state vector. The update is based upon the innovation vector for the target, which is the vector difference between observed and estimated target position. Since each target has many returns, both actual and clutter, it is necessary to validate each return before including it in the calculation of the average innovation vector. Return validation is accomplished via fuzzy logic and is incorporated with a fuzzy measure of target-return similarity in the fuzzy return processor (FRP) to obtain the average innovation vector. Spurious returns are discussed in terms of their causes and their effect on the fuzzy tracking algorithm. The rule set is described in detail, and the results are discussed and compared to Kalman filter tracking results. Finally, the algorithm is applied to an actual forward-looking infrared (FLIR) image sequence provided by Texas Instruments, Inc. and results are discussed accordingly.

Citation Download Citation

Michael J. Horton and Richard A. Jones "Fuzzy logic extended rule set for multitarget tracking", Proc. SPIE 2468, Acquisition, Tracking, and Pointing IX, (26 May 1995); https://doi.org/10.1117/12.210422

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