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    Tracking mouse from incomplete body-part observations and deep-learned deformable-mouse model motion-track constraint for behavior analysis:
    the only thing about me is the way I walk (2024)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Hellwich, Olaf
    Andresen, Niek (WE 11)
    Hohlbaum, Katharina
    Boon, Marc
    Kwiatkowski, Monika
    Matern, Simon
    Reiske, Patrik
    Sprekeler, Henning
    Thöne‐Reineke, Christa (WE 11)
    Lewejohann, Lars (WE 11)
    Ghani Zada, Huma
    Brück, Michael
    Traverso, Soledad
    Quelle
    Arxiv
    Seiten: 1 – 10
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://arxiv.org/abs/2501.11030v1
    DOI: 10.48550/arXiv.2501.11030
    Kontakt
    Institut für Tierschutz, Tierverhalten und Versuchstierkunde

    Königsweg 67
    14163 Berlin
    +49 30 838 61146
    tierschutz@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Tracking mouse body parts in video is often incomplete due to occlusions such that - e.g. - subsequent action and behavior analysis is impeded. In this conceptual work, videos from several perspectives are integrated via global exterior camera orientation; body part positions are estimated by 3D triangulation and bundle adjustment. Consistency of overall 3D track reconstruction is achieved by introduction of a 3D mouse model, deep-learned body part movements, and global motion-track smoothness constraint.
    The resulting 3D body and body part track estimates are substantially more complete than the original single-frame-based body part detection, therefore, allowing improved animal behavior analysis.