Correlation Filters for Pattern Recognition Using a Noisy Reference

Correlation filters for recognition of a target in overlapping 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...

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Bibliographic Details
Published inProgress in Pattern Recognition, Image Analysis and Applications pp. 38 - 45
Main Authors Aguilar-González, Pablo M., Kober, Vitaly
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
correlation filters
pattern recognition
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Summary:Correlation filters for recognition of a target in overlapping 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.
ISBN:9783540859192
3540859195
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-85920-8_5