A Fast Center of Pupil Detection Algorithm for VOG-Based Eye Movement Tracking

Author

Kim, S.I. ; Cho, J.M. ; Jung, J.Y. ; Kim, S.H. ; Lim, J.H. ; Nam, T.W. ; Kim, J.H.

Author_Institution

Dept. of Biomed. Eng., Inje Univ., Kimhae

fYear

2006

Firstpage

3188

Lastpage

3191

Abstract

This paper proposes an algorithm that has been developed for the video-oculograph method. It is used to detect the center of the pupil, extracted from a captured image of an eye acquired by using a CCD camera and a computer with image grabber. The captured eye image is 640 by 480 pixels in size at 8 bits per pixel, in depth. The center of the pupil area could be obtained by applying the proposed algorithms for the threshold of the captured gray-scale image, for image enhancement and noise removing techniques even though the pupil area was partially covered by eyelashes and an eyelid

Keywords

biomechanics; biomedical optical imaging; eye; image denoising; image enhancement; medical image processing; CCD camera; VOG-based eye movement tracking; eyelashes; eyelid; fast center of pupil detection algorithm; gray-scale image; image enhancement; noise removing techniques; videooculograph method; Biomedical engineering; Charge coupled devices; Charge-coupled image sensors; Detection algorithms; Eyelashes; Eyelids; Histograms; Image enhancement; Pixel; Tracking; Eye Movement Tracking; Pupil Center; VOG;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617153

Filename

1617153