Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning

Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning

The welfare of animals under human care is often assessed by observing behaviours indicative of stress or discomfort, such as stereotypical behaviour (SB), which often shows as repetitive, invariant pacing. Traditional behaviour monitoring methods, however, are labour-intensive and subject to observ...

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Bibliographic Details
Main Authors: Matthias Zuerl, Philip Stoll, Ingrid Brehm, Jonas Sueskind, René Raab, Jan Petermann, Dario Zanca, Ralph Simon, Lorenzo von Fersen, Bjoern Eskofier
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecological Informatics
Subjects:
Animal welfare
Animal tracking
Behaviour classification
Deep learning
Computer vision
Coping
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124003820
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