TY - GEN
T1 - Semi-automated identification of leopard frogs
AU - Petrovska-Delacrétaz, Dijana
AU - Edwards, Aaron
AU - Chiasson, John
AU - Chollet, Gérard
AU - Pilliod, David S.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Animal biometrics
KW - Automatic identification
KW - Frogs
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=84902310404&partnerID=8YFLogxK
U2 - 10.5220/0004828706790686
DO - 10.5220/0004828706790686
M3 - Conference contribution
AN - SCOPUS:84902310404
SN - 9789897580185
T3 - ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
SP - 679
EP - 686
BT - ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
T2 - 3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014
Y2 - 6 March 2014 through 8 March 2014
ER -