Ungulate Detection and Species Classification from Camera Trap Images Using RetinaNet and Faster R-CNN

Ungulate Detection and Species Classification from Camera Trap Images Using RetinaNet and Faster R-CNN

Changes in the ungulate population density in the wild has impacts on both the wildlife and human society. In order to control the ungulate population movement, monitoring systems such as camera trap networks have been implemented in a non-invasive setup. However, such systems produce a large number...

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Bibliographic Details
Main Authors: Alekss Vecvanags, Kadir Aktas, Ilja Pavlovs, Egils Avots, Jevgenijs Filipovs, Agris Brauns, Gundega Done, Dainis Jakovels, Gholamreza Anbarjafari
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Entropy
Subjects:
RetinaNet
Faster R-CNN
animal detection
camera traps
ungulates
Online Access:https://www.mdpi.com/1099-4300/24/3/353

Internet

https://www.mdpi.com/1099-4300/24/3/353

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