Berkeley MHAD: A comprehensive Multimodal Human Action Database

@article{Ofli2013BerkeleyMA,
  title={Berkeley MHAD: A comprehensive Multimodal Human Action Database},
  author={Ferda Ofli and Rizwan Chaudhry and Gregorij Kurillo and Ren{\'e} Vidal and Ruzena Bajcsy},
  journal={2013 IEEE Workshop on Applications of Computer Vision (WACV)},
  year={2013},
  pages={53-60}
}
Over the years, a large number of methods have been proposed to analyze human pose and motion information from images, videos, and recently from depth data. Most methods, however, have been evaluated on datasets that were too specific to each application, limited to a particular modality, and more importantly, captured under unknown conditions. To address these issues, we introduce the Berkeley Multimodal Human Action Database (MHAD) consisting of temporally synchronized and geometrically… CONTINUE READING
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