Ralph Oyini Mbouna, Seong G Kong
(Dept. of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA)
Abstract：This paper presents a user friendly approach to localize the pupil center with a single web camera. Several methods have been proposed to determine the coordinates of the pupil center in an image, but with practical limitations. The proposed method can track the user’s eye movements in real time under normal image resolution and lighting conditions using a regular webcam, without special equipment such as infrared illuminators. After the pre-processing steps used to deal with illumination variations, the pupil center is detected using iterative thresholding by applying geometric constraints. Experimental results show that robustness and speed in determining the pupil’s location in real time for users of various ethnicities, under various lighting conditions, at different distances from the webcam and with standard resolution images.
Key words：pupil detection; eye gaze tracking; feature extraction; facial features tracking
CLD number： TP391 Document code： A
Article ID： 1674-8042(2012)02-0133-04 doi： 10.3969/j.issn.1674-8042.2012.02.008
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