Measurement of human stature from surveillance camera based on projective geometry

Takuya Inoue, Hideo Saito, Makoto Kimura

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

In this paper, we propose a novel measurement method of human stature by single view surveillance camera with minimum and sufficient effort of camera calibration. In this method, we calibrate the camera only towards the vertical direction to the ground by using multiple poles with known length which are placed at the arbitrary positions. Even though the horizontal positions of the poles are unknown, we can obtain the geometrical information which is sufficient to estimate the vertical length of the human according to the length of the poles. In the estimation of the human stature, we compute the homography between the plane along with the tips of the poles (pole-top plane) and the ground plane. Using this homography, we can determine any image point that has the same height from the ground, then we can determine the point of the pole length height in the human region. By comparing with the point and the head top point of the human, we can compute the stature with real scale. We have experimentally confirmed that proposed method can be more accurate and easier measurement than the measurement by the traditional camera calibration method using a chess board.

元の言語English
ホスト出版物のタイトルProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
ページ508-511
ページ数4
出版物ステータスPublished - 2011 12 1
イベント12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
継続期間: 2011 6 132011 6 15

出版物シリーズ

名前Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Other

Other12th IAPR Conference on Machine Vision Applications, MVA 2011
Japan
Nara
期間11/6/1311/6/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • これを引用

    Inoue, T., Saito, H., & Kimura, M. (2011). Measurement of human stature from surveillance camera based on projective geometry. : Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011 (pp. 508-511). (Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011).