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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver gaze tracker using deformable template matching


    Beteiligte:
    Wei Wang, (Autor:in) / Yingping Huang, (Autor:in) / Renjie Zhang, (Autor:in)


    Erscheinungsdatum :

    01.07.2011


    Format / Umfang :

    230821 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    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. | Europäisches Patentamt | 2023

    Freier Zugriff

    GAZE TRACKER AND METHOD FOR DETECTING PUPIL THEREOF

    KIM YANG SHIN / SHIN DONG SOO | Europäisches Patentamt | 2016

    Freier Zugriff

    CALIBRATION APPARATUS OF GAZE TRACKER AND METHOD THEREOF

    YOON IL YONG | Europäisches Patentamt | 2017

    Freier Zugriff