DocumentCode :
2811330
Title :
Improvement on Pupil Positioning Algorithm in Eye Tracking Technique
Author :
Yan, Bei ; Zhang, Xigong ; Gao, Lifeng
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
It is significant to accurately locate the pupil position in eye tracking system. And the commonly used method is the algorithm combining Starburst and ellipse fitting. The Starburst algorithm is used to detect the edge of the pupil while the ellipse fitting is supposed to find the optimum ellipse that finely fits the pupil. Then the center of the ellipse is regarded as the location of the pupil. This algorithm is acceptable except that the starting point and the definition of the pupil edge have a great influence on its efficiency. This paper focuses on the accuracy and the swiftness of the primary algorithm and makes some improvement to make up the shortcomings of it. Firstly, mainly localize the pupil position by means of gray projection. Secondly, enhance pupil edge using an edge detecting operator.
Keywords :
edge detection; eye; tracking; Starburst algorithm; ellipse fitting; eye tracking technique; gray projection; pupil positioning algorithm; Automation; Cameras; Histograms; Image edge detection; Image processing; Image segmentation; Infrared imaging; Layout; Projection algorithms; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5363013
Filename :
5363013
Link To Document :
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