Paper
12 May 2016 Tracker-aided adaptive multi-frame recognition of a specific target
Author Affiliations +
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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