Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling

• URL: http://arxiv.org/abs/2105.04244v1
• Date: Mon, 10 May 2021 10:17:34 GMT
• Title: Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling
• Authors: Timm Haucke, Hjalmar S. K\"uhl, Jacqueline Hoyer, Volker Steinhage
• Abstract summary: Estimating animal abundance is of critical importance to assess, for example, the consequences of land-use change and invasive species on species composition. This study proposes a completely automatized workflow utilizing state-of-the-art methods of image processing and pattern recognition.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Biodiversity crisis is still accelerating. Estimating animal abundance is of critical importance to assess, for example, the consequences of land-use change and invasive species on species composition, or the effectiveness of conservation interventions. Camera trap distance sampling (CTDS) is a recently developed monitoring method providing reliable estimates of wildlife population density and abundance. However, in current applications of CTDS, the required camera-to-animal distance measurements are derived by laborious, manual and subjective estimation methods. To overcome this distance estimation bottleneck in CTDS, this study proposes a completely automatized workflow utilizing state-of-the-art methods of image processing and pattern recognition.

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