• DocumentCode
    3680271
  • Title

    Eye Detection Based on Integral Projection and Hough Round Transform

  • Author

    Chen Dong; Xiaoli Wang; Chen Pei-hua; Yang Pu-Liang

  • Author_Institution
    Coll. of Electron. &
  • fYear
    2015
  • Firstpage
    252
  • Lastpage
    255
  • Abstract
    As the judgment of driver´s fatigue, we must first achieve the driver´s face detection, and then conduct the human eye´s detect. This work is in color model and radial basis function networks realize the driver´s face detection, next using integral projection and Hough round Transform comply eye detection. This method have two advantages, the first is use of integral projection function can achieve coarse positioning of the human eye and be united in wedlock of Hough round Transform finish the exact position of human eyes, so we can make up the shortcomings inaccurate of one single integral projection template matching methods to detect, another advantage is in order to improve the detect accurate we take the human eye as a whole, so we may quickly achieve the human eye detect, thus the errors of monocular detection will have greatly improve.
  • Keywords
    "Feature extraction","Face","Transforms","Image edge detection","Face detection","Face recognition","Image color analysis"
  • Publisher
    ieee
  • Conference_Titel
    Big Data and Cloud Computing (BDCloud), 2015 IEEE Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/BDCloud.2015.34
  • Filename
    7310752