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A novel algorithm for head-tracking based on stereo is presented in this paper. Employing stereo vision makes the tracker robust to many factors such as clutter, color and lighting variations, that affect contemporary head trackers. The head is modeled as an ellipse and tracking is performed on the foreground obtained by modeling depth. This is facilitated by using stereo vision. Further, we present...
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