Skip to content
University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Convex Model for the Robust Estimation of Optical Flow for, Motion-Based Image Segmentation

    Thumbnail
    View/Open
    TR_97-17.pdf (201.4Kb)
    No. of downloads: 526

    Date
    1997
    Author
    Haridasan, Radhakrishan
    Metadata
    Show full item record
    Abstract
    The goal of motion-based segmentation is to partition the image into regions that have different characteristics or properties. The paper establishes feasibility of using computer vision algorithms for real-time segmentation and compression of motion video sequences. A convex formulation, using Huber's regularizer, in a robust estimation framework has significant advantages over previous approaches. Unlike previous techniques, our approach guarantees stable, repeatable (or reproducible) segmentations which make real-time applications in segmenting video possible. <BR>
    URI
    http://hdl.handle.net/1903/5908
    Collections
    • Institute for Systems Research Technical Reports

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility