This paper introduces a direct accountability technique for the real-time estimation of the head’s position and orientation. Unlike existing works which rely on feature extraction either in the image domain or in three-dimensional space, our proposed approach based on a hierarchical expert classification will estimate the head pose for real-time applications, specifically for driver assistance systems. We proposed a method for feature extraction which aims at keeping only the angle-related features, independent of identity. We then used a hierarchical algorithm for classification which divides the whole space into smaller spaces. Moreover, we made a performance study aiming at evaluating the accuracy of the proposed approach. Experimental results show that the proposed features are able to describe the pose of the driver face image successfully, with a performance in agreement with the actual poses. This approach is not only useful for automobile safety and security but also can help severely handicapped people and can be used in collision prevention systems and other driving applications.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver’s head pose estimation using a hierarchical classification on an effective feature space




    Publication date :

    2012-09-01


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Drivers head pose estimation using a hierarchical classification on an effective feature space

    Ghaffari,A. / Rezvan,M. / Khodayari,A. et al. | Automotive engineering | 2012


    DRIVER'S STATE ESTIMATION APPARATUS AND DRIVER'S STATE ESTIMATION METHOD

    MORI SOUICHIROU / SHIMIZU YOUJI / MIURA HIROAKI et al. | European Patent Office | 2015

    Free access

    Driver's style classification using jerk analysis

    Murphey, Yi Lu / Milton, Robert / Kiliaris, Leonidas | IEEE | 2009


    Classification Driver's Behaviour Using Supervised Algorithm

    Sihakhom, Phounsiri / Sulistyo, Selo / Mustika, I Wayan | IEEE | 2020