A pupil location method based on improved OTSU algorithm

Author

Fan Yang ; Huaiyi Sun ; Dongqiang Wang ; Lili Huang ; Longcan Hu ; Yue Gao ; Haiyan Li

Author_Institution

Chongqing Res. Center for Inf. & Autom. Technol., Chongqing, China

fYear

2012

fDate

Oct. 30 2012-Nov. 1 2012

Firstpage

1145

Lastpage

1148

Abstract

To improve the accuracy and rapidity of pupil location in human-computer interaction, a method based on the improved OTSU algorithm is proposed in this paper. Firstly, the image is pre-processed using light compensating and median filtering to calculate the maximum between-class variance of the pixels which exist in the image, and obtain the optimum threshold of the binary image. Finally, the pupil center and radius is got by using ellipse fitting. Experiment results show that the method is quite accurate and fast, which laid a great foundation for the eye tracking.

Keywords

human computer interaction; image processing; median filters; object tracking; binary image; eye tracking; human computer interaction; improved OTSU algorithm; median filtering; optimum threshold; pupil location method; Accuracy; Fitting; Histograms; Image edge detection; Image segmentation; Least squares methods; Transforms; Ellipse fitting; OTSU algorithm; Pupil location; Threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-1855-6

Type

conf

DOI

10.1109/CCIS.2012.6664562

Filename

6664562