Gaze Estimation of Human Eye

Author

Sun, Xinghua ; Chen, Guoyong ; Zhao, Chunxia ; Yang, Jingyu

Author_Institution

Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol.

fYear

2006

fDate

38869

Firstpage

310

Lastpage

313

Abstract

As an indispensable component of intelligent transportation systems, the driving assistant has attracted much attention of scholars and engineers. The gaze estimation of human eye just serves for the driving assistant. In this paper the eye and gaze models are introduced first and then improved by us, so that the new models are presented. Based on the new models the Hough transform method with gradient direction is used to perform the iris detection and gaze estimation. In experiments the two parameters of false estimation rate and average detection time are investigated. To the good-quality frame images the false estimation rate is 5.87% and the average detection time is 94.3 milliseconds. In the end the proposed gaze estimation algorithm is applied to a real-time gaze tracking system and the comparison result shows that it has the more accuracy

Keywords

Hough transforms; eye; image recognition; real-time systems; tracking; Hough transform method; average detection time; false estimation rate; gradient direction; human eye; image processing; iris detection; real-time gaze tracking system; Computer science; Humans; Image edge detection; Intelligent transportation systems; Iris; Parameter estimation; Real time systems; Stereo vision; Sun; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

ITS Telecommunications Proceedings, 2006 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

0-7803-9587-5

Electronic_ISBN

0-7803-9587-5

Type

conf

DOI

10.1109/ITST.2006.288901

Filename

4068592