Motion Segmentation in Long Image Sequences
نویسندگان
چکیده
Analysis of long image sequence is important for visual surveillance, mobile robotics, and areas where a dynamic scene is observed over a long period of time, which means that a compact representation is needed to efficiently process it. In this report 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 computed every several frames, making it a compact representation, uses an interval model of uncertainty and forms the basis for motion segmentation Results of this algorithm are presented on synthetic and real-world scenes.
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