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Proceedings Paper

Small feature recognition of moving targets
Author(s): Andre Sokolnikov
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Paper Abstract

This paper presents an approach related to automated recognition of small features of movable targets including fast moving objects such as airplanes, etc. Small features recognition is a challenging problem in both fields: pattern recognition of particular configurations and of complexes comprising a number of configurations. Specific target details, although well characterized by their features are often arranged in an elaborated way which makes the recognition task very difficult and welcomes new ideas (approaches). On the other hand, the variety of small characters (features) is intrinsically linked to the technology development of the identified targets and is unavoidable. Due to the complexity of possible technological designs, the feature representation is one of the key issues in optical pattern recognition. A flexible hierarchical prediction modeling is proposed with application examples.

Paper Details

Date Published: 29 April 2013
PDF: 9 pages
Proc. SPIE 8748, Optical Pattern Recognition XXIV, 87480M (29 April 2013); doi: 10.1117/12.2016947
Show Author Affiliations
Andre Sokolnikov, Visual Solutions and Applications (United States)

Published in SPIE Proceedings Vol. 8748:
Optical Pattern Recognition XXIV
David Casasent; Tien-Hsin Chao, Editor(s)

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