SSM-HPC : Front View Gait Recognition Using Spherical Space Model with Human Point Clouds
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概要
- 論文の詳細を見る
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.
- 2012-07-01
著者
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Ryu Jegoon
Graduate School Of Information Production And Systems Waseda University
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Kamata Sei-ichiro
Graduate School Of Information Production And System Waseda University
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AHRARY Alireza
Department of Computer and Information Science, Sojo University
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KAMATA Sei-ichiro
Graduate School of Information, Production, and Systems, Waseda University
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