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Lecture Notes in Computer Science
This paper deals with segmentation of image sequences in an unsupervised manner with the goal of getting highly consistent segmentation results from frame-to-frame. We first introduce a segmentation method that uses results of the previous frame as initialization and significantly improves consistency in comparison to a single frame based approach. We also find correspondences between the segmented regions from one frame to the next to further increase consistency. This matching step is baseddoi:10.1007/978-3-642-21227-7_5 fatcat:t4hlj3kjuzgtphmhft6252geou