• DocumentCode
    535272
  • Title

    Recognition of driver eyes´ states based on variance projections function

  • Author

    Lu, Yufeng ; Li, Chunling

  • Author_Institution
    Sch. of Mech. Eng., Shandong Inst. of Light Ind., Jinan, China
  • Volume
    4
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1919
  • Lastpage
    1922
  • Abstract
    The detection of drivers´ eyes states is a key part in detecting drivers´ vigilance states based on vision analysis. The present methods were not in real-time due to complex algorithm, or were very sensitive to the variety of illumination, and they are not suit to drivers work condition. We presented a new method which is based on variance projections function. Variance projection reflects the variance of intensity along projection direction mainly. The intensity of eyes area changes orderly under any illumination. So the eyes´ feature can be extracted through variance projection at any illumination. A lot of eyes area variance projections under different illumination have been studied and we find out there were distinct differences between the projections when the eyes were open and when the eyes were close, so we can recognize the two states of the eyes using these features. The experiments result that the method is Robust to different illumination condition.
  • Keywords
    computer vision; eye; feature extraction; image recognition; lighting; object detection; traffic engineering computing; driver eye state detection; driver eye state recognition; driver vigilance state; feature extraction; illumination condition; intensity variance; variance projection function; vision analysis; Driver circuits; Face; Fatigue; Feature extraction; Iris recognition; Lighting; Monitoring; Feature Extraction; State Recognition; State of Eyes; Variance Projections Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647480
  • Filename
    5647480