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Published on: May 1, 2016
Perspectives on Individual Animal Identification from Biology and Computer Vision
Maxime Vidal1,2, Nathan Wolf3, Beth Rosenberg3
1School of Life Sciences, Brain Mind Institute, Swiss Federal Institute of Technology (EPFL), Chemin des Mines 9, 1202 Geneva, Switzerland.
Abstract:
Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer vision approaches have emerged with strong performance. Here, we review current advances of computer vision identification techniques to provide both computer scientists and biologists with an overview of the available tools and discuss their applications. We conclude by offering recommendations for starting an animal identification project, illustrate current limitations, and propose how they might be addressed in the future.
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