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

Kang A. Choi, Seung Jin Baek, Chunfei Ma, Seung Park, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages514-515
Number of pages2
ISBN (Print)9781479912919
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Other

Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
CountryUnited States
CityLas Vegas, NV
Period14/1/1014/1/13

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Choi, K. A., Baek, S. J., Ma, C., Park, S., & Ko, S-J. (2014). Improved pupil center localization method for eye-gaze tracking-based human-device interaction. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 514-515). [6776111] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6776111