Animal Behavioural Ecology Research Through AI: A Concise Overview of Recent Progress

Malinda, Raj Rajeshwar

doi:10.51094/jxiv.1414

##article.authors##

Malinda, Raj Rajeshwar Graduate School of Information Science, University of Hyogo

DOI:

https://doi.org/10.51094/jxiv.1414

キーワード:

Artificial intelligence、 Animal behaviour、 Visual ecology、 Machine learning、 Deep learning

抄録

Artificial intelligence (AI) is predominantly most discussed topic of recent times in scientific research. In an ecological context, animal behaviour is documented complex and dynamic, and analysis often requiring substantial investment of manual efforts and rigorous tasks. With the integration of emerging technologies, such as AI, the tools and techniques available to study animal behaviour have broadened and deepened the research domain. AI integration has accelerated the automation of tasks performance in behavioural classification, detection, tracking, pose estimation and action recognition in animals. In this paper, I concisely review the current progress in AI methods applied to understand animal behaviour, and discuss their potential impact on ecological research.

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The author declares no financial or personal competing interests.

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