Summary
|
For Full-Text PDF, please login, if you are a member of IEICE, or go to Pay Per View on menu list, if you are a nonmember of IEICE. |
|
SSM-HPC: Front View Gait Recognition Using Spherical Space Model with Human Point Clouds Jegoon RYU Sei-ichiro KAMATA Alireza AHRARY Publication IEICE TRANSACTIONS on Information and Systems Vol.E95-D No.7 pp.1969-1978 Publication Date: 2012/07/01 Online ISSN: 1745-1361 DOI: 10.1587/transinf.E95.D.1969 Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: gait recognition, human point clouds (HPC), silhouette image, stereo camera, principal component analysis (PCA), linear discriminate analysis (LDA), Full Text: PDF(2.9MB)>>
Summary: In this paper, we propose a novel gait recognition framework - Spherical Space Model with Human Point Clouds (SSM-HPC) to recognize front view of human gait. A new gait representation - Marching in Place (MIP) gait is also introduced which preserves the spatiotemporal characteristics of individual gait manner. In comparison with the previous studies on gait recognition which usually use human silhouette images from image sequences, this research applies three dimensional (3D) point clouds data of human body obtained from stereo camera. The proposed framework exhibits gait recognition rates superior to those of other gait recognition methods. | ||||||||||
| ||||||||||