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This study utilizes continuous video analysis to explore social behavior in mice, creating a comprehensive database that facilitates the understanding of behavioral patterns. The research leverages the advantages of animal models to perform experiments that are more ethical and practical compared to human studies, allowing for the collection of extensive video data in constrained environments. With a dataset of 237 videos, 104 were employed for training the model and 133 for testing, showcasing the potential for advanced behavior recognition in preclinical research.
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Social behavior recognition in continuous video Xavier P. Burgos-Artizzu, PiotrDoll´ar, Dayu Lin, David J. Anderson, PietroPerona California Institute of Technology, Microsoft Research, Redmond, NYU Medical Center
Abstract • Use continuous vedio to analyzing social behavior. • Use mice to build a database -- Easier to study than human behavior -- Easier to detect and track in a limited space -- more practical and ethical to set up experiments and collect abundant video of animals, rather than humans
Overview Take 237 videos Use 104 videos for training Model Use 133 videos for testing
