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A Robust Eye Tracking Procedure for Medical and Industrial Applications

  • Alberto De Santis
  • Daniela Iacoviello
Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 13)

Abstract

An efficient eye tracking procedure is presented providing a non-invasive method for real time detection of a subject pupils in a sequence of frames captured by low cost equipment. The procedure can be easily adapted to any application relying on eye tracking. The eye pupil identification is performed by a hierarchical optimal segmentation procedure: a contextual picture zoning yielding the eyes position, and a further binarization extracting the pupils coordinates. No eye movement model is required to predict the future eyes position to restrict the image searching area, since the procedure first step is fast enough to obtain a frame to frame eyes position update.

Keywords

Video Sequence Smooth Pursuit Otsu Method Level Segmentation Pupil Position 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science +Business Media B.V. 2009

Authors and Affiliations

  • Alberto De Santis
    • 1
  • Daniela Iacoviello
    • 1
  1. 1.Department of Informatica e Sistemistica “A. Ruberti” “Sapienza”University of RomeRomeItaly

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