A Flexible Auto Camera Calibration Technique using Vehicle Tracking
نویسندگان
چکیده
A statistical and computer vision approach using tracked moving vehicle shapes for auto-calibrating traffic surveillance cameras is presented. Various methods have been designed to estimate scene vanishing point and invertible transformation between real world and image coordinates. Results are validated against traditional methods in different traffic locations yield accurate results with much more flexibility and reliability. Given only the prior knowledge about the dimensions of typical vehicle class traveling at a particular traffic scene, it is sufficient for our approach to completely generate all information about the camera being used
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تاریخ انتشار 2008