Abstract A new approach is presented to vehicle-class recognition from video clips. Two new concepts introduced are: probes consisting of local 3-d curve-groups which when projected into video frames are features for recognizing vehicle classes in video clips; and Bayesian recognition based on class probability densities for groups of 3-d distances between pairs of 3-d probes. A full Bayesian recognizer is realized via Monte Carlo simulation method. Also, a sub-optimal but robust camera calibration method is employed and tested extensively.


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    Title :

    Bayesian vehicle class recognition using 3-d probe


    Contributors:
    Han, D. (author) / Cooper, D. B. (author) / Hahn, H. -S. (author)

    Published in:

    Publication date :

    2013-09-20


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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