Head Tracking Using Stereo
نویسنده
چکیده
A different perspective to head tracking, one of the more studied topics in computer vision is presented here. The heavy reliance of contemporary head trackers on intensity images is countered here. The algorithm presented here, uses stereo data to track the head of a moving subject. This is used to achieve effective and accurate foreground segmentation. The head is modeled as an ellipse and tracking is done using constant velocity prediction. The depth information obtained from the stereo algorithms is used to predict the size of the head accurately.
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