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Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

Volume 5077 of the series Lecture Notes in Computer Science pp 417-425

Leatherbacks Matching by Automated Image Recognition

  • Eric J. PauwelsAffiliated withCentrum Wiskunde & Informatica
  • , Paul M. de ZeeuwAffiliated withCentrum Wiskunde & Informatica
  • , Danielle M. BounantonyAffiliated withNicholas School of the Environment and Earth Sciences, Duke University

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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.