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Proceedings Paper

Position-independent ATR using hierarchical hidden Markov model as the identification algorithm
Author(s): Andre Sokolnikov
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Paper Abstract

A recursive algorithm based on hidden Markov models is used to build a model of the identification target. The end result of the recursive matching is an optimal scene-to-model transformation, along with a recognition degree of suitability value between the scene and the model. The hierarchical structure of the model allows a maximization of the target identification probability.

Paper Details

Date Published: 10 June 2013
PDF: 7 pages
Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440B (10 June 2013); doi: 10.1117/12.2017037
Show Author Affiliations
Andre Sokolnikov, Visual Solutions and Applications (United States)

Published in SPIE Proceedings Vol. 8744:
Automatic Target Recognition XXIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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