Eyes Segmentation Applied to Gaze Direction and Vigilance Estimation

  • Zakia Hammal
  • Corentin Massot
  • Guillermo Bedoya
  • Alice Caplier
Conference paper

DOI: 10.1007/11552499_27

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3687)
Cite this paper as:
Hammal Z., Massot C., Bedoya G., Caplier A. (2005) Eyes Segmentation Applied to Gaze Direction and Vigilance Estimation. In: Singh S., Singh M., Apte C., Perner P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg

Abstract

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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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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