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Extraction and Clustering of Motion Trajectories in Video

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dc.contributor.author Buzan, Dan en_US
dc.contributor.author Sclaroff, Stan en_US
dc.contributor.author Kollios, George en_US
dc.date.accessioned 2011-10-20T04:19:16Z
dc.date.available 2011-10-20T04:19:16Z
dc.date.issued 2004-04-23 en_US
dc.identifier.uri http://hdl.handle.net/2144/1545
dc.description.abstract A 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.iso en_US en_US
dc.publisher Boston University Computer Science Department en_US
dc.relation.ispartofseries BUCS Technical Reports;BUCS-TR-2004-017 en_US
dc.title Extraction and Clustering of Motion Trajectories in Video en_US
dc.type Technical Report en_US


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