Wildlife surveillance using deep learning methods

Wildlife surveillance using deep learning methods

Abstract Wildlife conservation and the management of human–wildlife conflicts require cost‐effective methods of monitoring wild animal behavior. Still and video camera surveillance can generate enormous quantities of data, which is laborious and expensive to screen for the species of interest. In th...

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Bibliographic Details
Main Authors: Ruilong Chen, Ruth Little, Lyudmila Mihaylova, Richard Delahay, Ruth Cox
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:Ecology and Evolution
Subjects:
automatic image recognition
bovine tuberculosis
convolutional neural networks
deep learning
wildlife monitoring
Online Access:https://doi.org/10.1002/ece3.5410

Internet

https://doi.org/10.1002/ece3.5410

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