A Semi-automatic Approach to Photo Identification of Wild Elephants

  • Alessandro Ardovini
  • Luigi Cinque
  • Francesca Della Rocca
  • Enver Sangineto
Conference paper

DOI: 10.1007/978-3-540-72847-4_30

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4477)
Cite this paper as:
Ardovini A., Cinque L., Della Rocca F., Sangineto E. (2007) A Semi-automatic Approach to Photo Identification of Wild Elephants. In: Martí J., Benedí J.M., Mendonça A.M., Serrat J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg

Abstract

Zoologists studying elephant populations in wild environments need to recognize different individuals from photos taken in different periods of time. Individuals can be distinguished by the shape of the nicks on their ears. Nevertheless, shape comparison is not trivial due to a highly cluttered background. We propose a method for partially, non-connected curve matching able to compare photos of elephant ears.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Alessandro Ardovini
    • 1
  • Luigi Cinque
    • 1
  • Francesca Della Rocca
    • 2
  • Enver Sangineto
    • 1
  1. 1.Computer Science Department, University of Rome “La Sapienza”, via Salaria 113, 00198 RomeItaly
  2. 2.Department of Animal and Human Biology, University of Rome “La Sapienza”, viale dell’Università 32, 00185 RomeItaly

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