A Semi-automatic Approach to Photo Identification of Wild Elephants

  • Authors:
  • Alessandro Ardovini;Luigi Cinque;Francesca Rocca;Enver Sangineto

  • Affiliations:
  • Computer Science Department, University of Rome "La Sapienza", via Salaria 113, 00198 Rome, Italy;Computer Science Department, University of Rome "La Sapienza", via Salaria 113, 00198 Rome, Italy;Department of Animal and Human Biology, University of Rome "La Sapienza", viale dell'Università 32, 00185 Rome, Italy;Computer Science Department, University of Rome "La Sapienza", via Salaria 113, 00198 Rome, Italy

  • Venue:
  • IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
  • Year:
  • 2007

Quantified Score

Hi-index 0.02

Visualization

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.