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Estimation of Human Height and Position using a Single Camera  

Lee, Seok-Han (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Choi, Jong-Soo (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
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Abstract
In this paper, we propose a single view-based technique for the estimation of human height and position. Conventional techniques for the estimation of 3D geometric information are based on the estimation of geometric cues such as vanishing point and vanishing line. The proposed technique, however, back-projects the image of moving object directly, and estimates the position and the height of the object in 3D space where its coordinate system is designated by a marker. Then, geometric errors are corrected by using geometric constraints provided by the marker. Unlike most of the conventional techniques, the proposed method offers a framework for simultaneous acquisition of height and position of an individual resident in the image. The accuracy and the robustness of our technique is verified on the experimental results of several real video sequences from outdoor environments.
Keywords
Height estimation; Position estimation; Human tracking; Camera calibration; Video surveillance;
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