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Coding of image data via correlation filters for invariant pattern recognition: Some practical results

  • Signal Processing and Pattern Recognition
  • Conference paper
  • First Online:
Information Theory and Applications II (CWIT 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1133))

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Abstract

The National Optics Institute is currently carrying out a project in automatic target recognition in order to locate, recognize, and track potential targets (e.g. tanks or troop carriers) monitored in real time by an infrared camera. In this paper, we present an algorithm based on the Distance Classifier Correlation Filter (DCCF), a subclass of the Synthetic Discriminant Functions family which are often used to solve the target recognition problem. We describe the general approach of DCCF-based template matching and the algorithms used. The effect of the training set on the discrimination performance, the optical implementation, and a few practical results are also presented. For a three-class recognition, only 3 misclassifications have been reported on a data bank of more than 200 images.

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Author information

Author notes

  1. Jonny Gauvin

    Present address: Bomem Inc., Quebec, Qc, Canada

Authors and Affiliations

  1. National Optics Institute, Ste-Foy, Qc, Canada

    Jonny Gauvin, Michel Doucet & Denis Gingras

  2. Defense Research Establishment Valcartier, Courcelette, Qc, Canada

    Paul Chevrette

Authors
  1. Jonny Gauvin
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  2. Michel Doucet
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  3. Denis Gingras
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  4. Paul Chevrette
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Editor information

Jean-Yves Chouinard Paul Fortier T. Aaron Gulliver

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© 1996 Springer-Verlag Berlin Heidelberg

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Gauvin, J., Doucet, M., Gingras, D., Chevrette, P. (1996). Coding of image data via correlation filters for invariant pattern recognition: Some practical results. In: Chouinard, JY., Fortier, P., Gulliver, T.A. (eds) Information Theory and Applications II. CWIT 1995. Lecture Notes in Computer Science, vol 1133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025149

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  • DOI: https://doi.org/10.1007/BFb0025149

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61748-8

  • Online ISBN: 978-3-540-70647-2

  • eBook Packages: Springer Book Archive

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