SSM-HPC: Front view gait recognition using spherical space model with human point clouds

Jegoon Ryu, Seiichiro Kamata, Alireza Ahrary

研究成果: Article

1 引用 (Scopus)

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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.

元の言語English
ページ(範囲)1969-1978
ページ数10
ジャーナルIEICE Transactions on Information and Systems
E95-D
発行部数7
DOI
出版物ステータスPublished - 2012 7

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

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