Can poachers find animals from public camera trap images?
Not on the map. Why?
Abstract (arXiv)
To protect the location of camera trap data containing sensitive, high-target species, many ecologists randomly obfuscate the latitude and longitude of the camera when publishing their data. For example, they may publish a random location within a 1km radius of the true camera location for each camera in their network. In this paper, we investigate the robustness of geo-obfuscation for maintaining camera trap location privacy, and show via a case study that a few simple, intuitive heuristics and publicly available satellite rasters can be used to reduce the area likely to contain the camera by 87% (assuming random obfuscation within 1km), demonstrating that geo-obfuscation may be less effective than previously believed.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 21 Jun 2021.
Builds on
3 of 12 references.
References · 3
- 2015Wide-Area Image Geolocalization with Aerial Reference Imagerycited by 186
- 2016PlaNet - Photo Geolocation with Convolutional Neural Networkscited by 115
- 2019Protecting Geolocation Privacy of Photo Collectionscited by 3
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