3D Visual-Based Human Motion Descriptors: A Review
Margarita Khokhlova, Cyrille Migniot, Albert Dipandà · 2016
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.