Eyes Segmentation Applied to Gaze Direction and Vigilance Estimation

  • Zakia Hammal
  • Corentin Massot
  • Guillermo Bedoya
  • Alice Caplier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3687)


An efficient algorithm to iris segmentation and its application to automatic and non-intrusive gaze tracking and vigilance estimation is presented and discussed. A luminance gradient technique is used to fit the irises from face images. A robust preprocessing which mimics the human retina is used in such a way that a robust system to luminance variations is obtained and contrast enhancement is achieved. The validation of the proposed algorithm is experimentally demonstrated by using three well-known test databases: the FERET database, the Yale database and the Cohn-Kanade database. Experimental results confirm the effectiveness and the robustness of the proposed approach to be applied successfully in gaze direction and vigilance estimation.


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  1. 1.
    Buswell, G.T.: How people look at pictures. University of Chicago Press, Chicago (1920)Google Scholar
  2. 2.
    Zhu, Z., Qiang, Q.: Robust Real-Time Eye Detection and Tracking and Variable Lighting Conditions and Various Face Conditions. Computer Vision and Image Understanding 98, 124–154 (2005)CrossRefGoogle Scholar
  3. 3.
    Hansen, D.W., Pece, A.E.C.: Eye Tracking in the Wild. Computer Vision and Image Understanding 98, 236–274 (2005)CrossRefGoogle Scholar
  4. 4.
    Noureddin, B., Lawrence, P.D., Man, C.F.: A Non-Contact for Tracking gaze in a Human-Computer Interface. Computer Vision and Image Understanding 98, 52–82 (2005)CrossRefGoogle Scholar
  5. 5.
    Wang, J., Sung, E., Venkateswarlu, R.: Estimating the eye gaze from one eye. Computer Vision and Image Understanding 98, 83–103 (2005)CrossRefGoogle Scholar
  6. 6.
  7. 7.
    Viola, P., Jones, M.: Robust real time face detection. International Journal of Computer Vision 57(2), 137–154 (2004)CrossRefGoogle Scholar
  8. 8.
    Beaudot, W.: The neural information in the vertebra retina: a melting pot of ideas for artificial vision. PhD thesis, tirf laboratory, Grenoble, France (1994)Google Scholar
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
    Commercial website: http://www.eyelinkinfo.com/

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Zakia Hammal
    • 1
  • Corentin Massot
    • 1
  • Guillermo Bedoya
    • 1
  • Alice Caplier
    • 1
  1. 1.Laboratoy of Images and SignalsGrenobleFrance

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