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    • CAS: Computer Science: Technical Reports
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    •   OpenBU
    • College of Arts and Sciences
    • Computer Science
    • CAS: Computer Science: Technical Reports
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    Extraction and Clustering of Motion Trajectories in Video

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    Date Issued
    2004-04-23
    Author(s)
    Buzan, Dan
    Sclaroff, Stan
    Kollios, George
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    Permanent Link
    https://hdl.handle.net/2144/1545
    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.
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    • CAS: Computer Science: Technical Reports [585]


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