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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    Title :

    Site Model Based Image Registration and Change Detection


    Contributors:
    R. Chellappa (author) / P. Burlina (author) / C. L. Lin (author) / L. S. Davis (author) / A. Rosenfeld (author)

    Publication date :

    1998


    Size :

    29 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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