3D Visual-based Human Motion Descriptors: A Review
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | 3D Visual-based Human Motion Descriptors: A Review |
| Type de publication | Conference Paper |
| Year of Publication | 2016 |
| Auteurs | Khokhlova M, Migniot C, Dipanda A |
| Editor | Yetongnon K, Dipanda A, DePietro RCG, Gallo L |
| Conference Name | 2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS) |
| Publisher | IEEE; IEEE Comp Soc; Univ Bourgogne; CNRS; ACM SIGAPP; IFIP; Natl Res Council Italy, Inst High Performance Comp & Networking; Univ Naples Federico II; Univ Milan; Univ Bourgogne, Lab Elect Image Informatique Res Grp; Univ Stvdiorvm Mediolanensis; Distrett |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5090-5698-9 |
| Mots-clés | Action recognition, Gait assessment, Gesture recognition, Human motion description, motion 3D |
| Résumé | 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. |
| DOI | 10.1109/SITIS.2016.95 |