We propose an automatic camera calibration method to determine the position and orientation of a newly installed camera in our human tracking system. Due to the increasing cost of camera calibration, automatic algorithms are required. In our method, both 3D position tracking results and 2D positions and sizes on camera image planes are used. Because we employ a simple 2D to 3D position translation method based on the observed size of the target, the calibration results become stable even if the input data includes large observation errors. Observations by the newly installed camera are taken into account while tracking to increase the reliability of the calibration result. Using this method, the cost of installing new cameras in a human tracking system can be effectively reduced. Experimental results show the effectiveness of the proposed method.
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