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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    Titel :

    Real-time vehicle tracking on highway


    Beteiligte:
    Hsu, W.L. (Autor:in) / Liao, H.Y.M. (Autor:in) / Jeng, B.S. (Autor:in) / Fan, K.C. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    424965 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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