Remarks on a real-time 3d human body posture estimation method using trinocular images

Kazuhiko Takahashi, Tatsumi Sakaguchi, Jun Ohya

研究成果: Article

15 引用 (Scopus)

抜粋

This paper proposes a new real-time method of estimating human postures in 3D from trinocular images. The proposed method extracts feature points of the human body by applying a type of function analysis to contours of human silhouettes. To overcome self-occlusion problems, dynamic compensation is carried out using the Kalman filter and 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, and an application example of the 3D human body posture estimation to a motion recognition system is presented.

元の言語English
ページ(範囲)693-697
ページ数5
ジャーナルProceedings - International Conference on Pattern Recognition
15
発行部数4
出版物ステータスPublished - 2000 12 1
外部発表Yes

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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