Metadata augmented deep neural networks for wild animal classification

Camera trap imagery has become an invaluable asset in contemporary wildlife surveillance, enabling researchers to observe and investigate the behaviors of wild animals. While existing methods rely solely on image data for classification, this may not suffice in cases of suboptimal animal angles, lig...

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Bibliographic Details
Main Authors: Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, R. Muhammad Atif Azad
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecological Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124003479