• DocumentCode
    3049383
  • Title

    Detecting Driver Yawning in Successive Images

  • Author

    Lu Yufeng ; Wang Zengcai

  • Author_Institution
    Dept. of Mech. Eng., Shandong Univ., Jinan
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    581
  • Lastpage
    583
  • Abstract
    We can detect drivers´ yawn to recognize the drivers´ state in the process of drivers´ state detection. The face region is located using the difference image between two images. The face region is segmented and the chin is located, then the midpoint of nostrils is located using directional integral projection method. Based on the locating of the midpoint of nostrils and the chin we can recognize the drivers´ yawn by calculating the vertical distance between them. Our method is robust to variant illumination because this method isn´t based on color or intensity which is fragile to illumination. The experiments results that the method we present can detect most yawning in test videos.
  • Keywords
    biomedical measurement; image segmentation; medical image processing; chin; directional integral projection method; driver yawning; image segmentation; nostrils; Face detection; Fatigue; Image recognition; Image segmentation; Lighting; Lips; Mechanical engineering; Mouth; Robustness; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.152
  • Filename
    4272636