The University of Maryland (UMD) is one of the BAA contractors performing research on aerial image understanding for the RADIUS project. UMD is contributing model-based and context-based change detection (CD) and monitoring algorithms. The principal accomplishments for this third annual report are the following: (1) improvements to detecting and counting of vehicles on parking lots as well as along roads; (2) monitoring vehicle formations, such as convoys and railroad cars, and (3) integrating the vehicle detector within the RCDE platform. UMD used geometric and context information derived from site models to accomplish these tasks.


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    Titel :

    Site Model Based Image Registration and Change Detection


    Beteiligte:
    R. Chellappa (Autor:in) / P. Burlina (Autor:in) / C. L. Lin (Autor:in) / L. S. Davis (Autor:in) / A. Rosenfeld (Autor:in)

    Erscheinungsdatum :

    1998


    Format / Umfang :

    29 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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