NDLI: Improved pupil center localization method for eye-gaze tracking-based human-device interaction

Content Provider	IEEE Xplore Digital Library
Author	Kang-a Choi Seung-Jin Baek Chunfei Ma Seung Park Sung-Jea Ko
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Eng., Korea Univ., Seoul, South Korea (Kang-a Choi; Seung-Jin Baek; Chunfei Ma; Seung Park; Sung-Jea Ko)
Abstract	This paper presents an improved pupil center (PC) localization method for eye-gaze tracking. In the proposed method, an input infrared eye image is repeatedly binarized with a finite number of different thresholds to produce a stack of binary images. Among all the blobs, which are groups of connected binary pixels in the binary image stack, we find a blob whose shape is the most similar to pupil, in terms of the size, the aspect ratio, the moments, and the circularity. Consequently, the centroid of the final resultant blob is regarded as the PC location. Experimental results show that the proposed method outperforms conventional ones.
Sponsorship	IEEE Consumer Electron. Soc.
Starting Page	514
Ending Page	515
File Size	239540
Page Count	2
File Format	PDF
ISSN	21583994
e-ISBN	9781479912919
DOI	10.1109/ICCE.2014.6776111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering Shape Iris recognition Estimation Conferences Educational institutions Cameras
Content Type	Text
Resource Type	Article

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Improved pupil center localization method for eye-gaze tracking-based human-device interaction