This paper addresses the issue of driving while drowsy and proposes a passive eye monitoring-based driver eye closure recognition system. It reviews the core algorithmic building blocks of this system along with in-depth analysis of operational test field characteristics. The system operates equally in both day and night-time. It automatically finds the drivers eyes in the images, tracks the eye location in a wide range of head and eye motion, and estimates in real-time the eye state as either open or closed eye, and further infers to driver drowsiness state. This paper reports as well the experimental results on a diverse and challenging set of subjects and environmental driving conditions.


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    Titel :

    On Driver Eye Closure Recognition for Commercial Vehicles


    Weitere Titelangaben:

    Sae Int. J. Commer. Veh


    Beteiligte:
    Wilhelm, Andrew (Autor:in) / Witt, Gerald (Autor:in) / Hammoud, Riad I. (Autor:in) / Dufour, Robert (Autor:in) / Newman, Timothy (Autor:in)

    Kongress:

    Commercial Vehicle Engineering Congress & Exhibition ; 2008



    Erscheinungsdatum :

    07.10.2008


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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