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Multimedia Tools and Applications

, Volume 77, Issue 24, pp 31665–31691 | Cite as

Advances in description of 3D human motion

  • Margarita Khokhlova
  • Cyrille Migniot
  • Albert Dipanda
Article
  • 143 Downloads

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 purpose is twofold. First, we introduce the main trends in human 3D motion descriptor design and evaluation. Second, we present a review of recent methods belonging to three different application categories: action recognition, gesture recognition and gait assessment. Selected categories have different specifics, which allow us to highlight aspects of a motion descriptor construction. A comparison of different methods by their main characteristics is provided. Finally, possible directions and recommendations for future research in 3D motion description are outlined.

Keywords

Human motion description 3D Motion Action recognition Gesture recognition Gait assessment 

Notes

Acknowledgements

Authors would like to acknowledge with much appreciation Briac Colobert from Proteor for his help and interest in this research. A special gratitude is given to the Region of Burgundy, who financed this research.

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Authors and Affiliations

  1. 1.Le2i, FRE CNRS 2005Universite de Bourgogne Franche-ComtéBourgogneFrance

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