In driver assistance system, human eye gaze direction is an important feature described some driver's situation such as distraction and fatigue. This paper proposes a method to track driver's gaze direction by using deformable template matching. The method is divided into three steps: first, identifying the face area. Second, localizing the eye area. Finally, combining the eye region model and sight algorithm to determine the driver's gaze direction. Experimental results show that this method can effectively identify human's eye and track gaze motion in a real-time running basis.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver gaze tracker using deformable template matching


    Contributors:
    Wei Wang, (author) / Yingping Huang, (author) / Renjie Zhang, (author)


    Publication date :

    2011-07-01


    Size :

    230821 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Eye-Gaze Detection from Monocular Camera Image Using Parametric Template Matching

    Ohtera, Ryo / Horiuchi, Takahiko / Tominaga, Shoji | Springer Verlag | 2007


    Young Driver Gaze (YDGaze): Dataset for driver gaze analysis

    Ceven, Suleyman / Albayrak, Ahmet / Bayir, Raif | IEEE | 2022


    Predicting driver state using gaze behavior

    LIU KE / HECHT RANDY / GARNETT NOAH et al. | European Patent Office | 2023

    Free access

    GAZE TRACKER AND METHOD FOR DETECTING PUPIL THEREOF

    KIM YANG SHIN / SHIN DONG SOO | European Patent Office | 2016

    Free access

    CALIBRATION APPARATUS OF GAZE TRACKER AND METHOD THEREOF

    YOON IL YONG | European Patent Office | 2017

    Free access