Artificial intelligence techniques for the detection of animals in forest

 

The article can be downloaded here:

https://www6.inrae.fr/cahier_des_techniques/Les-Cahiers-parus/Les-N-reguliers/2020/Cahier-N-101/Art1-ct101-2020

Abstract:

An artificial vision software that contain image processing and deep learning functions has been developed to detect animals on videos recorded by camera traps in forests. Monitoring by camera traps is used on the OPTMix experimental facility in the Orléans forest to estimate wild ungulate pressure (roe deer, red deer and wild boar) on study plots. Scientists and conservation biologists use camera traps to monitor wildlife populations and biodiversity. Automatic image processing that count animals and identify species could facilitate and improve the use of camera traps in biodiversity monitoring programs and make the methodology accessible to a greater number of end users.

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