3D Visual-Based Human Motion Descriptors: A Review

Abstract : 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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Communication dans un congrès
12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Nov 2016, Naples, Italy. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, Signal-Image Technology & Internet-Based Systems (SITIS), 2016 12th International Conference on, pp.564-572, 2017, 〈http://ieeexplore.ieee.org/document/7907522/〉. 〈10.1109/SITIS.2016.95〉
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01557584
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : jeudi 6 juillet 2017 - 13:48:43
Dernière modification le : vendredi 13 juillet 2018 - 11:56:01

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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. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, Signal-Image Technology & Internet-Based Systems (SITIS), 2016 12th International Conference on, pp.564-572, 2017, 〈http://ieeexplore.ieee.org/document/7907522/〉. 〈10.1109/SITIS.2016.95〉. 〈hal-01557584〉

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