3D Visual-Based Human Motion Descriptors: A Review

Margarita Khokhlova 1 Cyrille Migniot 1 Albert Dipanda 1, *
* Auteur correspondant
1 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
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.
Keywords : Three-dimensional displays Databases Shape Gait recognition Video sequences Image color analysis computer vision gait analysis gesture recognition image motion analysis stereo image processing gait assessment gesture recognition action recognition human 3D motion descriptor design 3D computer vision depth-based human motion descriptors 3D visual-based human motion descriptors
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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 7 décembre 2018 - 16:48:04

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UNIV-BOURGOGNE | CNRS | UNIV-BM | LE2I | UNIV-BM-THESE | UNIV-HESAM

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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. pp.564-572, ⟨10.1109/SITIS.2016.95⟩. ⟨hal-01557584⟩

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