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

Kazuhiko Takahashi*, Tatsumi Sakaguchi, Jun Ohya

*この研究の対応する著者

研究成果: Article査読

15 被引用数 (Scopus)

抄録

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.

本文言語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
4
出版ステータスPublished - 2000
外部発表はい

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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