We propose a macroscopic method, which can perform real-time tracking of moving vehicles on highway. In addition to dealing with the problem caused by occlusion and noise, the proposed method can also track a vehicle doing lane change. The proposed method consists of two phases: the detection phase and the tracking phase. In the detection phase, we use entropy-based features to check the existence of vehicles. Then, we use the flux theory, which is commonly used in fluid mechanics to perform the tracking task. By conducting a great number of experiments, we have demonstrated the efficiency as well as the effectiveness of the proposed system.


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    Title :

    Real-time vehicle tracking on highway


    Contributors:
    Hsu, W.L. (author) / Liao, H.Y.M. (author) / Jeng, B.S. (author) / Fan, K.C. (author)


    Publication date :

    2003-01-01


    Size :

    424965 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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