Abstract
Motion-based image segmentation becomes inherently ambiguous when
apparent motions of different objects are locally or globally similar
during a period. To disambiguate the segmentation, temporal coherence
between the local image motion at each edge point and the apparent
motion of every object is examined over a long sequence. The point is
grouped into that segment of the object whose apparent motion is
temporally most coherent with the local image motion at the point
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