Abstract
An essential stage for the implementation of object-based video coding techniques is the automatic decomposition of an image sequence into different moving objects. The presented technique for motion segmentation is based on the concept of affine motion hypotheses. In an inital stage a set of motion hypotheses is generated for a given group of images. The segmentation of the group of images is obtained by classifying each image location to one of the extracted motion hypotheses. The iterative nature of the algorithm results in an alternative refinement of the object boundaries and the motion parameters. The extracted objects are characterized by their boundaries and a set of motion parameters. During the segmentation process an additionally depth parameter is assigned to each object Thus occlusion areas and uncovered regions can be predicted on tire basis of the object boundaries in the first image of the group.
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