Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps |
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| Affiliation: | 1. University of Bonn, Institute of Computer Science IV, Friedrich-Hirzebruch-Allee 8, Bonn 53115, Germany;2. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany;1. Laboratoire d''Instrumentation, Image et Spectroscopie, Institut National Polytechnique Félix Houphouët-Boigny, BP 1093 Yamoussoukro, Côte d''Ivoire;2. Université Lille, CNRS, UMR 8524-Laboratoire Paul Painlevé, INRIA-MODAL, F-59000 Lille, France;1. Department of Wildlife Ecology and Conservation, Newins-Zeigler Hall, University of Florida, Gainesville, FL 32611, United States of America;2. Conservation Initiatives, Guwahati 781022, Assam, India;3. USDA Forest Service, Rocky Mountain Research Station, Albuquerque, NM 87102, United States of America;4. Department of Biology, Bartram-Carr Hall, University of Florida, Gainesville, FL 32611, United States of America;5. Pakke WS & Tiger Reserve, Seijosa, Pakke Kessang, Arunachal Pradesh 790103, India;6. Swiss Ornithological Institute, Sempach, Switzerland |
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| Abstract: | The biodiversity crisis is still accelerating, despite increasing efforts by the international community. Estimating animal abundance is of critical importance to assess, for example, the consequences of land-use change and invasive species on community composition, or the effectiveness of conservation interventions. Various approaches have been developed to estimate abundance of unmarked animal populations. Whereas these approaches differ in methodological details, they all require the estimation of the effective area surveyed in front of a camera trap. Until now camera-to-animal distance measurements are derived by laborious, manual and subjective estimation methods. To overcome this distance estimation bottleneck, this study proposes an automatized pipeline utilizing monocular depth estimation and depth image calibration methods. We are able to reduce the manual effort required by a factor greater than 21. Our system is available.1 |
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