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Communication Dans Un Congrès Année : 2017

3D Visual-Based Human Motion Descriptors: A Review

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This paper aims to provide a comprehensive reference source on depth-based human motion descriptors. Motion description is a challenging problem which became popular with recent advances in 3D computer vision. Our goal is to introduce the main trends in human 3D motion descriptor design and evaluation next to presenting a review of recent methods belonging to three application categories: action recognition, gesture recognition and gait assessment.
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hal-01557584 , version 1 (06-07-2017)



Margarita Khokhlova, Cyrille Migniot, Albert Dipanda. 3D Visual-Based Human Motion Descriptors: A Review. 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Nov 2016, Naples, Italy. pp.564-572, ⟨10.1109/SITIS.2016.95⟩. ⟨hal-01557584⟩
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