In the US, thousands of Pan, Tilt, and Zoom (PTZ) traffic cameras monitor highway conditions. There is a great interest in using these highway cameras to gather valuable road traffic data to support traffic analysis and decision-making for highway safety and efficient traffic management. However, there are too many cameras for a few human traffic operators to effectively monitor, so a fully automated solution is desired. This paper introduces a novel system that learns the locations of highway lanes and traffic directions from these camera feeds automatically. It collects real-time, lane-specific traffic data continuously, even adjusting for changes in camera angle or zoom. This facilitates efficient traffic analysis, decision-making, and improved highway safety.


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    Titel :

    Real-Time Lane-Wise Traffic Monitoring in Optimal ROIs


    Beteiligte:
    Qiu, Mei (Autor:in) / Lin, Wei (Autor:in) / Christopher, Lauren Ann (Autor:in) / Chien, Stanley (Autor:in) / Chen, Yaobin (Autor:in) / Hu, Shu (Autor:in)


    Erscheinungsdatum :

    07.08.2024


    Format / Umfang :

    11064519 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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