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.
|Publication Subtype||Conference publication|
|Title||Semi-automated identification of leopard frogs|
|Contributing office(s)||Forest and Rangeland Ecosystem Science Center|
|Larger Work Title||International Conference on Pattern Recognition Applications and Methods|
|Conference Title||International Conference on Pattern Recognition Applications and Methods|
|Conference Location||Angers, Loire Valley, France|
|Google Analytic Metrics||Metrics page|