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EE586L - 2010 - Eye Catchers

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Uploaded on Apr 30, 2010

http://biron.usc.edu/wiki/index.php/E...

Automatic video gaze tracking finds applications in handicapped accessibility and behavioral analysis. Many challenges exist in recognizing and tracking the pupil of the eye. We adapt a version of the Starburst algorithm, originally developed to track the eye with an infrared illumination source, to track the pupil in the visible spectrum. The adapted algorithm runs on a TI DSP and tracks the pupil with a camera mounted in front of a monitor. We demonstrate functionality by detection of menu options on the monitor using the gaze of the eyes.

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