An Iterative Motion Estimation-Segmentation Method using Watershed Segments

Ioannis Patras, Emile A. Hendriks, Reginald L. Lagendijk

Abstract: This paper addresses the problem of segmentation of image sequences into moving objects. The segmentation (label) field 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.