Correlation Pattern Recognition in Nonoverlapping Scene Using a Noisy Reference

Authors:
Pablo M. Aguilar-González;Vitaly Kober
Affiliations:
Department of Computer Science, Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, México 22860;Department of Computer Science, Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, México 22860
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

Correlation filters for recognition of a target in nonoverlapping background noise are proposed. The object to be recognized is given implicitly; that is, it is placed in a noisy reference image at unknown coordinates. For the filters design two performance criteria are used: signal-to-noise ratio and peak-to-output energy. Computer simulations results obtained with the proposed filters are discussed and compared with those of classical correlation filters in terms of discrimination capability.