• DocumentCode
    2998409
  • Title

    A new rapid algorithm for driver face organ detection

  • Author

    Guo, Keyou ; Yu, Guizhen ; Li, Zhenhua

  • Author_Institution
    Coll. of Mech. Eng. & Autom., Beijing Technol. & Bus. Univ., Beijing
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    1502
  • Lastpage
    1506
  • Abstract
    The monitoring and warning system for the driverpsilas driving behavior plays an important role in enhancing the safety of vehicles. Monitoring and analyzing the driverpsilas facial status by using the machine vision is one of hotspots in the assistant safe driving system. The face detection and face organ location technology of the system are discussed firstly. By analyzing the actual drivers state , the driver face location was obtained using the Gray Variance algorithm. From the extreme points of the projective curve we may divide the face areas, and then can get the accurate face organ location based on OSTU algorithm. The samples proved that the algorithm was real-time and efficient. The research was the foundation for further information-collecting and state-analyzing of driverpsilas eyes.
  • Keywords
    computer vision; driver information systems; face recognition; human factors; monitoring; object detection; road safety; OSTU algorithm; assistant safe driving system; driver face location; driver face organ detection; driving behavior monitoring; driving behavior warning system; image gray variance algorithm; machine vision; projective curve; vehicle safety; Alarm systems; Algorithm design and analysis; Automation; Computerized monitoring; Condition monitoring; Educational institutions; Face detection; Machine vision; Surveillance; Vehicle safety; Driver Behaviour Surveillance; Face Organ Detection; Machine Vision; Real-Time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636391
  • Filename
    4636391