31 May 1996 Bias phenomena study/compensation for tracking algorithms
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shan Cong, Lang Hong, Michael W. Logan, Thomas P. Donohue, Richard A. Wood, "Bias phenomena study/compensation for tracking algorithms", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241184; https://doi.org/10.1117/12.241184

Detection and tracking algorithms

Monte Carlo methods

Data modeling

Algorithm development


Systems modeling

Target detection

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