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Journal of Applied Remote Sensing • new

Developing the fuzzy c-means clustering algorithm based on maximum entropy for multitarget tracking in a cluttered environment
Author(s): Xiao Chen; Yaan Li; Jing Yu; Yuxing Li
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Paper Abstract

For fast and more effective implementation of tracking multiple targets in a cluttered environment, we propose a multiple targets tracking (MTT) algorithm called maximum entropy fuzzy c-means clustering joint probabilistic data association that combines fuzzy c-means clustering and the joint probabilistic data association (PDA) algorithm. The algorithm uses the membership value to express the probability of the target originating from measurement. The membership value is obtained through fuzzy c-means clustering objective function optimized by the maximum entropy principle. When considering the effect of the public measurement, we use a correction factor to adjust the association probability matrix to estimate the state of the target. As this algorithm avoids confirmation matrix splitting, it can solve the high computational load problem of the joint PDA algorithm. The results of simulations and analysis conducted for tracking neighbor parallel targets and cross targets in a different density cluttered environment show that the proposed algorithm can realize MTT quickly and efficiently in a cluttered environment. Further, the performance of the proposed algorithm remains constant with increasing process noise variance. The proposed algorithm has the advantages of efficiency and low computational load, which can ensure optimum performance when tracking multiple targets in a dense cluttered environment.

Paper Details

Date Published: 2 February 2018
PDF: 16 pages
J. Appl. Rem. Sens. 12(1) 016019 doi: 10.1117/1.JRS.12.016019
Published in: Journal of Applied Remote Sensing Volume 12, Issue 1
Show Author Affiliations
Xiao Chen, Northwestern Polytechnical Univ. (China)
Yaan Li, Northwestern Polytechnical Univ. (China)
Jing Yu, Northwestern Polytechnical Univ. (China)
Yuxing Li, Northwestern Polytechnical Univ. (China)


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