Leatherbacks Matching by Automated Image Recognition

  • Eric J. Pauwels
  • Paul M. de Zeeuw
  • Danielle M. Bounantony
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5077)

Abstract

We describe a method that performs automated recognition of individual laetherback turtles within a large nesting population. With only minimal preprocessing required of the user, we prove able to produce unsupervised matching results. The matching is based on the Scale-Invariant Feature Transform by Lowe. A strict condition posed by biologists reads that matches should not be missed (no false negatives). A robust criterion is defined to meet this requirement. Results are reported for a considerable sample of leatherbacks.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Eric J. Pauwels
    • 1
  • Paul M. de Zeeuw
    • 1
  • Danielle M. Bounantony
    • 2
  1. 1.Centrum Wiskunde & InformaticaAmsterdamThe Netherlands
  2. 2.Nicholas School of the Environment and Earth SciencesDuke UniversityUSA

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