In this paper a coarse-to-fine system framework for analyzing the head gesture is presented. We discuss several important modules from computer vision aspects, including the pose-invariant face detection, face tracking, pose determination and high-resolution image reconstruction for eye pupils detection. Visual cues using intensity images obtained from in-car cameras are explored. A pose-invariant face detection algorithm is used to get the initial face area; afterwards face tracking and validation step is proposed to segment the face region for pose determination. The algorithm is tested on the drivers images under natural driving conditions. Experimental results show that the algorithm is robust to the head pose changes as well as the illumination changes. In this system framework, we propose that when coarse analysis utilizing the head pose alone is not sufficient for driver's behavior analysis, a finer analysis based on the eye gaze tracking is used, which requires images with sufficient resolution. A novel super-resolution reconstruction algorithm is proposed to help reveal more facial details, so as to facilitate the pupil detection. Experiment on the synthesis data shows the effectiveness of the super-resolution reconstruction algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Visual Modules for Head Gesture Analysis in Intelligent Vehicle Systems


    Beteiligte:
    Junwen Wu, (Autor:in) / Trivedi, M.M. (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    18597549 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Visual Modules for Head Gesture Analysis in Intelligent Vehicle Systems

    Wu, J. / Trivedi, M. M. | British Library Conference Proceedings | 2006


    Learning Visual Behavior for Gesture Analysis

    Wilson, A. W. / Bobick, A. F. / IEEE; Computer Society; Technical Committee for Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995


    Head gesture recognition for hands-free control of an intelligent wheelchair

    Hu, Huosheng H. / Jia, Pei / Lu, Tao et al. | Tema Archiv | 2007


    INTELLIGENT TUTORIAL FOR GESTURE

    OCHIAI YUICHI / NAGATA KATSUMI / SASAKI AKIRA | Europäisches Patentamt | 2017

    Freier Zugriff

    Eye Gesture Analysis with Head Movement for Advanced Driver Assistance Systems

    Siti Nor Hafizah bt Mohd Zaid / Mohamed Abdel Maguid / Abdel Hamid Soliman | BASE | 2012

    Freier Zugriff