3D Point Cloud Descriptor for Posture Recognition
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | 3D Point Cloud Descriptor for Posture Recognition |
| Type de publication | Conference Paper |
| Year of Publication | 2018 |
| Auteurs | Khokhlova M, Migniot C, Dipanda A |
| Editor | Imai F, Tremeau A, Braz J |
| Conference Name | PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2018), VOL 5: VISAPP |
| Publisher | SCITEPRESS |
| Conference Location | AV D MANUELL, 27A 2 ESQ, SETUBAL, 2910-595, PORTUGAL |
| ISBN Number | 978-989-758-306-3 |
| Mots-clés | 3D descriptor, 3D Posture, Point Cloud Structure |
| Résumé | This paper introduces a simple yet powerful algorithm for global human posture description based on 3D Point Cloud data. The proposed algorithm preserves spatial contextual information about a 3D object in a video sequence and can be used as an intermediate step in human-motion related Computer Vision applications such as action recognition, gait analysis, human-computer interaction. The proposed descriptor captures a point cloud structure by means of a modified 3D regular grid and a corresponding cells space occupancy information. The performance of our method was evaluated on the task of posture recognition and automatic action segmentation. |
| DOI | 10.5220/0006541801610168 |