Motion Segmentation in Long Image Sequences
نویسندگان
چکیده
Long image sequences provide a wealth of information, which means that a compact representation is needed to efficiently process them. In this paper a novel representation for motion segmentation in long image sequences is presented. This representation – the feature interval graph – measures the pairwise rigidity of features in the scene. The feature interval graph is recursively computed, making it a compact representation, and uses an interval model of uncertainty. The feature interval graph forms the basis for new algorithms for motion segmentation and occlusion analysis. Results of these algorithms are presented on synthetic and laboratory scenes.
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