CCTV cameras are becoming a common fixture at the roadside. Their use varies from traffic monitoring to security surveillance. In this paper an advanced two-stage framework for estimating vehicular traffic density on a road segment is presented. The proposed approach is computationally efficient and robust to varying illumination. The method is novel because it combines state-of-the-art image processing techniques with a simple traffic model in order to increase robustness. Experimental results have shown that the proposed framework can achieve higher performance than existing state-of-the-art techniques under conditions of varying illumination.


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    Titel :

    Advanced framework for illumination invariant traffic density estimation


    Beteiligte:
    Janney, Pranam (Autor:in) / Geers, Glenn (Autor:in)


    Erscheinungsdatum :

    2009-10-01


    Format / Umfang :

    603302 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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