Correlation Pattern Recognition in Nonoverlapping Scene Using a Noisy Reference

  • Pablo M. Aguilar-González
  • Vitaly Kober
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)


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.


correlation filters pattern recognition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pablo M. Aguilar-González
    • 1
  • Vitaly Kober
    • 1
  1. 1.Department of Computer ScienceCentro de Investigación Científica y de Educación Superior de EnsenadaEnsenadaMéxico

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