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  1. ASBAR: an Animal Skeleton-Based Action Recognition framework. Recognizing great ape behaviors in the wild using pose estimation with domain adaptation

    This article has 4 authors:
    1. Michael Fuchs
    2. Emilie Genty
    3. Klaus Zuberbühler
    4. Paul Cotofrei
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This valuable study presents a new framework (ASBAR) that combines open-source toolboxes for pose estimation and behavior recognition to automate the process of categorizing behaviors in wild apes from video data. The authors present compelling evidence that this pipeline can categorize simple wild ape behaviors from out-of-context video at a similar level of accuracy as previous models, while simultaneously vastly reducing the size of the model. The study's results should be of particular interest to primatologists and other behavioral biologists working with natural populations.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 2 listsLatest version Latest activity