Automated Image Recognition for Wildlife Camera Traps: Making it Work for You

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2020-08-Greenberg-ImageRecognitionCameraTraps.pdf (2.22 MB)

Date

2020-01-12

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Abstract

You have likely heard about or read articles that apply automated image recognition to wildlife camera trap images. The basic idea is that the image recognition system will automatically analyze your images to locate and classify the wildlife species within them. But before you jump on the bandwagon, here are a few things you should know about.

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Keywords

Camera traps, wildlife, image recognition, workflow

Citation

Greenberg, S. (2020). "Automated image recognition for wildlife camera traps: making it work for you" [Technical Report]. University of Calgary. http://hdl.handle.net/1880/112416

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http://hdl.handle.net/1880/112416

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The University of Calgary, located in the heart of Southern Alberta, both acknowledges and pays tribute to the traditional territories of the peoples of Treaty 7, which include the Blackfoot Confederacy (comprised of the Siksika, the Piikani, and the Kainai First Nations), the Tsuut’ina First Nation, and the Stoney Nakoda (including Chiniki, Bearspaw, and Goodstoney First Nations). The City of Calgary is also home to the Métis Nation of Alberta (Districts 5 and 6).

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