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Vidal M, Wolf N, Rosenberg B, Harris BP, Mathis A. Perspectives on Individual Animal Identification from Biology and Computer Vision. Integr Comp Biol 2021; 61:900-916. [PMID: 34050741 PMCID: PMC8490693 DOI: 10.1093/icb/icab107] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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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Affiliation(s)
- Maxime Vidal
- School of Life Sciences, Brain Mind Institute, Swiss Federal Institute of Technology (EPFL), Chemin des Mines 9, 1202 Geneva, Switzerland
- Center for Neuroprosthetics, Center for Intelligent Systems, Swiss Federal Institute of Technology (EPFL), Chemin des Mines 9, 1202 Geneva, Switzerland
| | - Nathan Wolf
- Fisheries, Aquatic Science, and Technology Laboratory, Alaska Pacific University, 4101 University Drive, Anchorage, Alaska 99508, USA
| | - Beth Rosenberg
- Fisheries, Aquatic Science, and Technology Laboratory, Alaska Pacific University, 4101 University Drive, Anchorage, Alaska 99508, USA
| | - Bradley P Harris
- Fisheries, Aquatic Science, and Technology Laboratory, Alaska Pacific University, 4101 University Drive, Anchorage, Alaska 99508, USA
| | - Alexander Mathis
- School of Life Sciences, Brain Mind Institute, Swiss Federal Institute of Technology (EPFL), Chemin des Mines 9, 1202 Geneva, Switzerland
- Center for Neuroprosthetics, Center for Intelligent Systems, Swiss Federal Institute of Technology (EPFL), Chemin des Mines 9, 1202 Geneva, Switzerland
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