This project involves the use of a dashboard-mounted camera to monitor the direction a driver is looking. This is accomplished by using the framework for processing video (FPV), developed at the University of Minnesota by Osama Masoud. The monitoring software works by first finding the lips on the driver's face using color analysis. Then, the skin color of the driver can be sampled and a face region is generated. The largest holes in this region are the lips and eyes. Once the eyes are found, the software finds the darkest pixels in the eyes and marks these as the pupils. The software uses the relative positions of the eyes and pupils to make statements about the gaze direction. Also discussed is monitoring various other driver activities such as adjusting as car stereo.


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    Title :

    Vision-based methods for driver monitoring


    Contributors:


    Publication date :

    2003-01-01


    Size :

    477518 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vision-Based Methods for Driver Monitoring

    Wahlstrom, E. / Masoud, O. / Papanikolopoulos, N. et al. | British Library Conference Proceedings | 2003



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