Pattern Recognition, International Conference on
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Abstract

In this paper, we present an efficient contour-tracking algorithm, which can track 2D silhouettes of multiple objects in extended image sequences captured by a static camera. We represent contours using cubic B-splines, and our tracking algorithm is based on tracking a lower dimensional shape-space. The tracker is coupled with a multiple model-filtering algorithm, which caters for objects that move with variable motion. The model based technique we provide is capable of tracking rigid and non-rigid object contours with good accuracy.
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