Semi-automated identification of leopard frogs

Dijana Petrovska-Delacrétaz, Aaron Edwards, John Chiasson, Gérard Chollet, David S. Pilliod

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Principal component analysis is used to implement a semi-automatic recognition system to identify recaptured northern leopard frogs (Lithobates pipiens). Results of both open set and closed set experiments are given. The presented algorithm is shown to provide accurate identification of 209 individual leopard frogs from a total set of 1386 images.

Original languageEnglish
Title of host publicationICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
Pages679-686
Number of pages8
DOIs
StatePublished - 2014
Event3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014 - Angers, Loire Valley, France
Duration: 6 Mar 20148 Mar 2014

Publication series

NameICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

Conference

Conference3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014
Country/TerritoryFrance
CityAngers, Loire Valley
Period6/03/148/03/14

Keywords

  • Animal biometrics
  • Automatic identification
  • Frogs
  • Principal component analysis

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