Remarks on a real-time, noncontact, nonwear, 3D human body posture estimation method

Kazuhiko Takahashi, Tatsumi Sakaguchi, Jun Ohya

研究成果: Article

9 引用 (Scopus)

抜粋

This paper proposes a new real-time method of estimating human postures in three dimensions from trinocular images. The proposed method extracts feature points of the human body by analyzing contours of human silhouettes. The feature points are extracted by using the subtraction images when self-occlusions occur in the silhouette images. Dynamic compensation is carried out with a Kalman filter so that all feature points are tracked. The 3D coordinates of the feature points are reconstructed by considering the geometrical relationship between the three cameras. Experimental results confirm both the feasibility and the effectiveness of the proposed method.

元の言語English
ページ(範囲)1-10
ページ数10
ジャーナルSystems and Computers in Japan
31
発行部数14
DOI
出版物ステータスPublished - 2000 12 1
外部発表Yes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics

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