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

Jegoon Ryu, Seiichiro Kamata, Alireza Ahrary

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1969-1978
Number of pages10
JournalIEICE Transactions on Information and Systems
VolumeE95-D
Issue number7
DOIs
Publication statusPublished - 2012 Jul

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Keywords

  • Gait recognition
  • Human point clouds (HPC)
  • Linear discriminate analysis (LDA)
  • Principal component analysis (PCA)
  • Silhouette image
  • Stereo camera

ASJC Scopus subject areas

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

Cite this

SSM-HPC : Front view gait recognition using spherical space model with human point clouds. / Ryu, Jegoon; Kamata, Seiichiro; Ahrary, Alireza.

In: IEICE Transactions on Information and Systems, Vol. E95-D, No. 7, 07.2012, p. 1969-1978.

Research output: Contribution to journalArticle

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