• DocumentCode
    3267467
  • Title

    Stereo Vision and Statistical Based Behaviour Prediction of Driver

  • Author

    Eren, Haluk ; Çelik, Ümit ; Poyraz, Mustafa

  • Author_Institution
    Firat Univ., Elazig
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    657
  • Lastpage
    662
  • Abstract
    The goal of this project is to develop a Webcam-based system for monitoring the activities of automobile drivers. As in any system deployed for monitoring driver activities, the primary goal is to distinguish between safe and unsafe driving actions. There is no fixed list of actions that qualifies the unsafe driving behaviors. In general, an activity or an action that reduces a driver´s alertness of their surroundings should be classified as unsafe driving behavior. Some examples of unsafe driving behavior include fatigue, talking on a cellular telephone, eating, and adjusting the controls of the dashboard stereo while driving. In this study, we also investigated the relationship between 2D and 3D face and pose recognition.
  • Keywords
    cameras; driver information systems; face recognition; human factors; monitoring; statistical analysis; stereo image processing; visual perception; 2D face recognition; 3D face recognition; Webcam-based system; automobile driver activity monitoring; pose recognition; statistical based behaviour driver prediction; stereo vision; unsafe driving behavior; Data mining; Driver circuits; Face recognition; Hidden Markov models; Image recognition; Image segmentation; Lighting; Monitoring; Stereo vision; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290191
  • Filename
    4290191