An Iterative Motion Estimation-Segmentation Method using Watershed Segments
نویسندگان
چکیده
This paper addresses the problem of segmentation of image sequences into moving objects. The segmen-tation (label) eld is modeled by applying a Markov Random Field on regions provided by a watershed algorithm. The algorithm iterates between a motion estimation and a segmentation step. Temporal consistency is introduced by tracking the segmentation in time.
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