document: Tracking nonparameterized object contours in video We propose a new method for contour tracking in video . The inverted distance transform of the edge map is used as an edge indicator function for contour detection . Using the concept of topographical distance , the watershed segmentation can be formulated as a minimization . This new viewpoint gives a way to combine the results of the watershed algorithm on different surfaces . In particular , our algorithm determines the contour as a combination of the current edge map and the contour , predicted from the tracking result in the previous frame . We also show that the problem of background clutter can be relaxed by taking the object motion into account . The compensation with object motion allows to detect and remove spurious edges in background . The experimental results confirm the expected advantages of the proposed method over the existing approaches
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