Front view gait recognition using spherical space model with human point clouds

Jegoon Ryu, Seiichiro Kamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

In this paper, we propose a novel gait recognition framework which is Spherical Space Model with Human Point Clouds (SSM-HPC). A new gait representation is also introduced, which is called Marching in Place (MIP) gait and preserves the spatiotemporal characteristics of individual gait manner. Various researches for gait recognition have used human silhouette images from moving picture. This research uses Three Dimensional (3D) point clouds data of human body obtained from stereo camera, which has the scale-invariant property. The framework is applied for frontal view gait recognition. This framework showed superior results for gait recognition rate than other gait recognition methods.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages3209-3212
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels
Duration: 2011 Sep 112011 Sep 14

Other

Other2011 18th IEEE International Conference on Image Processing, ICIP 2011
CityBrussels
Period11/9/1111/9/14

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Keywords

  • Gait Recognition
  • Human Point Clouds (HPC)
  • Marching in Place (MIP) Gait
  • Spherical Space Model (SSM)

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Ryu, J., & Kamata, S. (2011). Front view gait recognition using spherical space model with human point clouds. In Proceedings - International Conference on Image Processing, ICIP (pp. 3209-3212). [6116351] https://doi.org/10.1109/ICIP.2011.6116351