The increasing number of traffic accidents is principally caused by fatigue. In fact, the fatigue presents a real danger on road since it reduces driver capacity to react and analyze information. In this paper we propose an efficient and nonintrusive system for monitoring driver fatigue using yawning extraction. The proposed scheme uses face extraction based support vector machine (SVM) and a new approach for mouth detection, based on circular Hough transform (CHT), applied on mouth extracted regions. Our system does not require any training data at any step or special cameras. Some experimental results showing system performance are reported. These experiments are applied over real video sequences acquired by low cost web camera and recorded in various lighting conditions.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver’s Fatigue Detection Based on Yawning Extraction


    Beteiligte:
    Alioua, Nawal (Autor:in) / Amine, Aouatif (Autor:in) / Rziza, Mohammed (Autor:in) / Noureldin, Aboelmagd (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    7 Seiten, 26 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Automatic fatigue detection of drivers through yawning analysis

    Azim, Tayyaba / Jaffar, M. Arfan / Ramzan, M. et al. | Tema Archiv | 2009



    Yawning detection for monitoring driver fatigue based on two cameras

    Li, Lingling / Chen, Yangzhou / Li, Zhenlong | IEEE | 2009


    Design of Drowsiness and Yawning Detection System

    Dehankar, Vishwas / Jumle, Pranjali / Tadse, Surekha | IEEE | 2023


    DRIVER'S FATIGUE DETECTION SYSTEM AND METHOD

    KO MING-KUAN / FENG YEN-CHENG | Europäisches Patentamt | 2016

    Freier Zugriff