Contour-based instance recognition of animals
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Authors
Weideman, Hendrik J.
Issue Date
2019-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
Abstract
We demonstrate qualitatively and quantitatively that the contour extraction algorithm is able to extract the identifying contour from an image, with the learned fine-grained probability map outperforming the gradient-based baseline. Finally, we evaluate the matching algorithm on datasets that are used for photo identification of bottlenose dolphins, humpback whales, and elephants. The matching algorithm achieves top-1 accuracy scores of 95%, 85%, and 84% for these three species, respectively.
Description
August 2019
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY