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dc.contributor.authorBuzan, Danen_US
dc.contributor.authorSclaroff, Stanen_US
dc.contributor.authorKollios, Georgeen_US
dc.date.accessioned2011-10-20T04:19:16Z
dc.date.available2011-10-20T04:19:16Z
dc.date.issued2004-04-23en_US
dc.identifier.urihttp://hdl.handle.net/2144/1545
dc.description.abstractA system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clusters of similar trajectories in the video dataset. Objects' motion trajectories are extracted via an EKF formulation that provides each object's 3D trajectory up to a constant factor. To increase accuracy when occlusions occur, multiple tracking hypotheses are followed. For trajectory-based clustering and retrieval, a modified version of edit distance, called longest common subsequence (LCSS) is employed. Similarities are computed between projections of trajectories on coordinate axes. Trajectories are grouped based, using an agglomerative clustering algorithm. To check the validity of the approach, experiments using real data were performed.en_US
dc.language.isoen_USen_US
dc.publisherBoston University Computer Science Departmenten_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-2004-017en_US
dc.titleExtraction and Clustering of Motion Trajectories in Videoen_US
dc.typeTechnical Reporten_US


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