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

doi:10.1109/ICCE.2014.6776111

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 proceeding › Conference contribution

10 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 language	English
Title of host publication	2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	514-515
Number of pages	2
ISBN (Print)	9781479912919
DOIs	https://doi.org/10.1109/ICCE.2014.6776111
Publication status	Published - 2014
Event	2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States Duration: 2014 Jan 10 → 2014 Jan 13

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)	0747-668X

Other

Other	2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Country/Territory	United States
City	Las Vegas, NV
Period	14/1/10 → 14/1/13

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE.2014.6776111

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 2014 IEEE International Conference on Consumer Electronics, ICCE 2014 (pp. 514-515). Article 6776111 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6776111

Improved pupil center localization method for eye-gaze tracking-based human-device interaction. / Choi, Kang A.; Baek, Seung Jin; Ma, Chunfei et al.
2014 IEEE International Conference on Consumer Electronics, ICCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 514-515 6776111 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, KA, Baek, SJ, Ma, C, Park, S & Ko, SJ 2014, Improved pupil center localization method for eye-gaze tracking-based human-device interaction. in 2014 IEEE International Conference on Consumer Electronics, ICCE 2014., 6776111, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, Institute of Electrical and Electronics Engineers Inc., pp. 514-515, 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, Las Vegas, NV, United States, 14/1/10. https://doi.org/10.1109/ICCE.2014.6776111

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

Choi, Kang A. ; Baek, Seung Jin ; Ma, Chunfei et al. / Improved pupil center localization method for eye-gaze tracking-based human-device interaction. 2014 IEEE International Conference on Consumer Electronics, ICCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 514-515 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

@inproceedings{8ca868f69da44f9cb5d3501e76d5c43f,

title = "Improved pupil center localization method for eye-gaze tracking-based human-device interaction",

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.",

author = "Choi, {Kang A.} and Baek, {Seung Jin} and Chunfei Ma and Seung Park and Ko, {Sung Jea}",

year = "2014",

doi = "10.1109/ICCE.2014.6776111",

language = "English",

isbn = "9781479912919",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "514--515",

booktitle = "2014 IEEE International Conference on Consumer Electronics, ICCE 2014",

note = "2014 IEEE International Conference on Consumer Electronics, ICCE 2014 ; Conference date: 10-01-2014 Through 13-01-2014",

}

TY - GEN

T1 - Improved pupil center localization method for eye-gaze tracking-based human-device interaction

AU - Choi, Kang A.

AU - Baek, Seung Jin

AU - Ma, Chunfei

AU - Park, Seung

AU - Ko, Sung Jea

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84898684944&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898684944&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2014.6776111

DO - 10.1109/ICCE.2014.6776111

M3 - Conference contribution

AN - SCOPUS:84898684944

SN - 9781479912919

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

SP - 514

EP - 515

BT - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014

Y2 - 10 January 2014 through 13 January 2014

ER -

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

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this