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Published in: Artificial Life and Robotics 2/2022

16-02-2022 | Invited Article

Studying feral horse behavior from the sky

Author: Satoshi Hirata

Published in: Artificial Life and Robotics | Issue 2/2022

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Abstract

Unmanned aerial vehicles, commonly known as drones, have become widely available in recent years. A drone provides a bird’s eye view, which is useful in detecting and observing wild animals. One strength of imagery obtained by a drone is that it enables the capture of the two-dimensional spatial relationship of animals on the ground. I and colleagues have investigated the spatial relationships of feral horses at both intra- and inter-group levels. At the intra-group level, the distribution of the inter-individual distance of horses follows a certain pattern, indicating repulsion and attraction forces taking place among group members, similar to those in a school of fish, flock of birds, or swarm of insects. At the inter-group level, multiple unit groups aggregate to form a herd, suggesting the existence of a multilevel social structure. Automation of the analysis of the recordings of a drone, including target animal detection, individual identification, and motion tracking, presents a way forward. Drones and other emerging technologies will enhance our understanding of swarm behavior both in vivo and in vitro.

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Metadata
Title
Studying feral horse behavior from the sky
Author
Satoshi Hirata
Publication date
16-02-2022
Publisher
Springer Japan
Published in
Artificial Life and Robotics / Issue 2/2022
Print ISSN: 1433-5298
Electronic ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-022-00746-x

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