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29 October 1997 Neyman-Pearson tracker performance assessment
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In this paper, a method of testing combinations of image processing, track-before-detect, and track-after-detect algorithms is presented. It emphasizes false track confirmation rates and the time required to confirm true tracks whereas methods in the literature emphasize track purity and accuracy in estimating the target state. This method, which is an extension of the Neyman- Pearson criterion, yields a single performance measure, the expected time to confirm a true target track. The value of this method is in potential for component algorithm (spatial filter, track-before-detect, track-after-defect) tradeoff and track discriminant studies. Using it, one may quantitatively compare the effect of different spatial filters or different track discriminants, or the effect of using more computationally intensive track-after-detect algorithms and less computationally intensive track-before-detect algorithms.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rockie Lee Ricks, Michael B. Klausen, and John T. Barnett "Neyman-Pearson tracker performance assessment", Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997);


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