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Contour Matching for Fish Species Recognition and Migration Monitoring

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Applications of Computational Intelligence in Biology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 122))

Summary

A variety of matching and classification techniques have been employed in applications requiring pattern recognition. In this chapter we introduce a simple and accurate real-time contour matching technique specifically for applications involving fish species recognition and migration monitoring. We describe FishID, a prototype vision system that employs a software implementation of our newly developed contour matching algorithms. We discuss the challenges involved in the design of this system, both hardware and software, and we present results from a field test of the system at Prosser Dam in Prosser, Washington. In tests with up to four distinct species, the algorithm correctly determines the species with greater than 90 percent accuracy.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT, 84602, USA

    Dah-Jye Lee, James K. Archibald & Aaron W. Dennis

  2. Symmetron, LLC a div. of ManTech International Corp., Fairfax, VA, 22033, USA

    Robert B. Schoenberger

  3. Department of Biology, Brigham Young University, Provo, UT, 84602, USA

    Dennis K. Shiozawa

Authors
  1. Dah-Jye Lee
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  2. James K. Archibald
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  3. Robert B. Schoenberger
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  4. Aaron W. Dennis
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  5. Dennis K. Shiozawa
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Editor information

Editors and Affiliations

  1. Department of Biology, Emory University, 1510 Clifton Road NE, Atlanta, Georgia, 30322, USA

    Tomasz G. Smolinski

  2. Department of Computer Science, University of Arkansas at Little Rock, 2801 S. University Ave., Little Rock, Arkansas, 72204, USA

    Mariofanna G. Milanova

  3. Department of Quantitative Methods and Information Systems College of Business and Administration, Kuwait University, P.O. Box 5486, Safat, 13055, Kuwait

    Aboul-Ella Hassanien

  4. Department of Information Technology Faculty of Computers and Information, Cairo University, 5 Ahamed Zewal Street, Orman, Giza, Egypt

    Aboul-Ella Hassanien

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© 2008 Springer-Verlag Berlin Heidelberg

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Lee, DJ., Archibald, J.K., Schoenberger, R.B., Dennis, A.W., Shiozawa, D.K. (2008). Contour Matching for Fish Species Recognition and Migration Monitoring. In: Smolinski, T.G., Milanova, M.G., Hassanien, AE. (eds) Applications of Computational Intelligence in Biology. Studies in Computational Intelligence, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78534-7_8

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  • DOI: https://doi.org/10.1007/978-3-540-78534-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78533-0

  • Online ISBN: 978-3-540-78534-7

  • eBook Packages: EngineeringEngineering (R0)

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