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12 May 2016 Tracker-aided adaptive multi-frame recognition of a specific target
Abhijit Mahalanobis
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Proceedings Volume 9844, Automatic Target Recognition XXVI; 98440H (2016) https://doi.org/10.1117/12.2239901
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States
Abstract
We consider the problem of recognizing a particular target of interest (i.e. the "correct" target) while rejecting other targets and background clutter. In such instances, the probability of recognizing the correct target (PCT) is a suitable metric for assessing the performance of the target recognition algorithm. We present a definition for PCT and illustrate how it differs from conventional metrics for target recognition by means of an example. It is further shown that an adaptive target recognition algorithm, which relies on track position to obtain multiple looks at the target, can significantly improve PCT while reducing the track uncertainty.
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Abhijit Mahalanobis "Tracker-aided adaptive multi-frame recognition of a specific target", Proc. SPIE 9844, Automatic Target Recognition XXVI, 98440H (12 May 2016); https://doi.org/10.1117/12.2239901
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KEYWORDS
Target recognition
Automatic target recognition
Detection and tracking algorithms
Matrices
Evolutionary algorithms
Image filtering
Error analysis
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