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

Jegoon Ryu, Sei Ichiro Kamata

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルICIP 2011
ホスト出版物のサブタイトル2011 18th IEEE International Conference on Image Processing
ページ3209-3212
ページ数4
DOI
出版ステータスPublished - 2011 12 1
イベント2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
継続期間: 2011 9 112011 9 14

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
国/地域Belgium
CityBrussels
Period11/9/1111/9/14

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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