15 May 2012 Estimating trackability
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Abstract
Target tracking sensors and algorithms are usually evaluated using Monte Carlo simulations covering a large parameter space. We show a tracker for which the evaluation can be greatly simplified. We apply it to the one dimensional crossing track problem (e.g. ground target tracking in a dense target environment, where targets are confined to a road), and estimate the probability that measurements and tracks are incorrectly associated. If only position is measured, we find the probability of a misassociation is a very simple analytic function of the relevant parameters: measurement standard deviation, measurement interval, target density, and target acceleration. For normally distributed target velocities, the average time between misassociations also has a simple form. We suggest roll-up metrics for tracking sensors and tracking problems.
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James R. Van Zandt, "Estimating trackability", Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930N (15 May 2012); doi: 10.1117/12.921466; https://doi.org/10.1117/12.921466
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