Bias phenomena study/compensation for tracking algorithms

Shan Cong; Lang Hong; Michael W. Logan; Thomas P. Donohue; Richard A. Wood

doi:10.1117/12.241184

31 May 1996 Bias phenomena study/compensation for tracking algorithms

Shan Cong, Lang Hong, Michael W. Logan, Thomas P. Donohue, Richard A. Wood

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241184
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Bias phenomenon in multiple target tracking has been observed for some time. Beginning with a new view of a tracking algorithm structure, this paper is devoted to a study of the bias resulting from the miscorrelation in data association. The main result of this paper is a necessary condition for miscorrelation to cause bias. Relying on the main result, one new step is added to the tracking algorithm structure to compensate the bias generated by miscorrelation. A case study on the bias phenomenon in global nearest neighbor tracking is launched as a practice of the ideas and results presented in this paper. Tracking examples are given as an illustration. A discussion of several problems related to our results is given in the end of this paper.

Citation Download Citation

Shan Cong, Lang Hong, Michael W. Logan, Thomas P. Donohue, and Richard A. Wood "Bias phenomena study/compensation for tracking algorithms", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241184

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