• DocumentCode
    2074157
  • Title

    A recognition method of driver´s facial orientation based on SVM

  • Author

    Zhang, Mingheng ; Gang, Longhui

  • Author_Institution
    Dept. of Vehicle Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1309
  • Lastpage
    1312
  • Abstract
    Facial orientation is important for driver´s fatigue and loosing alertness in safety driving assist research field. Based on machine vision, the facial orientation was recognized through SVM with visual features such as eyes, mouth, facial outlines and so on. Experiments show that the proposed method for driver´s facial features detection has good reliability and the facial orientation can be recognized according to relevant characteristics.
  • Keywords
    computer vision; driver information systems; emotion recognition; face recognition; feature extraction; object detection; road safety; support vector machines; SVM; driver facial features detection; driver facial orientation recognition method; fatigue alertness; loosing alertness; machine vision; safety driving assist research field; support vector machine; Face; Feature extraction; Image color analysis; Mouth; Skin; Support vector machines; Vehicles; Facial orientation; Machine Vision; SVM(Support Vector Machine);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199446
  • Filename
    6199446