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Tracking nonparameterized object contours in video

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4 Author(s)
Hieu Tat Nguyen ; Fac. of Sci., Amsterdam Univ., Netherlands ; Worring, M. ; van den Boomgaard, R. ; Smeulders, A.W.M.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:11 ,  Issue: 9 )