research-article

Dataset for the evaluation of eye detector for gaze estimation

Authors:

Victoria Ponz,

Arantxa Villanueva,

Rafael CabezaAuthors Info & Claims

UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Pages 681 - 684

https://doi.org/10.1145/2370216.2370364

Published: 05 September 2012 Publication History

Abstract

Being able to perform eye tracking with low cost technology is the key to broaden its applications and one of the major goals for the eye tracking community nowadays. Furthermore, new datasets to evaluate the different methods are needed to reproduce the real conditions in which these algorithms work. In this paper, we present a dataset containing images of subjects with different gaze orientations as a new evaluation tool. First step in eye tracking algorithms is to detect the region of the eyes, and using the Gi4e dataset, we evaluate the best performing public Haar based classifiers under different gaze orientations to detect the eye area, proving this dataset to be a fair evaluation method.

References

[1]

P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. http://cvc.yale.edu/projects/yalefaces/yalefaces.html.

Google Scholar

[2]

S. Hameed. Eye cascade. http://umich.edu/shameem, 2008.

Google Scholar

[3]

Intel. Intel open source computer vision library. http://sourceforge.net/projects/opencvlibrary/, 2008.

Google Scholar

[4]

R. Lienhart and J. Maydt. An extended set of haar-like features for rapid object detection. In IEEE ICIP 2002, pages 900--903, 2002.

Crossref

Google Scholar

[5]

V. Ponz, A. Villanueva, L. Sesma, M. Ariz, and R. Cabeza. Topography-based detection of the iris centre using multiple-resolution images. In Irish Machine Vision and Image Processing Conference (IMVIP 2011) September 2011, pages 1--4, 2011.

Digital Library

Google Scholar

[6]

B. T. Research. The bioid face database. www.bioid.com, 2001.

Google Scholar

[7]

M. C. Santana, O. Déniz-Suárez, D. Hernández-Sosa, and J. Lorenzo. A comparison of face and facial feature detectors based on the viola-jones general object detection framework. Mach. Vis. Appl., 22(3):481--494, 2011.

Digital Library

Google Scholar

[8]

T. Shan. Security and surveillance. http://www.itee.uq.edu.au/sas/people.htm, 2008.

Google Scholar

[9]

F. Timm and E. Barth. Accurate eye centre localisation by means of gradients. In L. Mestetskiy and J. Braz, editors, VISAPP, pages 125--130. SciTePress, 2011.

Google Scholar

[10]

C. M. University. http://vasc.ri.cmu.edu/idb/html/face/frontal_images/index.html. CMU/VACS image database: Frontal face images.

Google Scholar

[11]

R. Valenti and T. Gevers. Accurate eye center location and tracking using isophote curvature. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.

Crossref

Google Scholar

[12]

P. Viola and M. Jones. Robust real-time face detection. International Journal of Computer Vision, 57:137--154, 2004.

Digital Library

Google Scholar

[13]

M. Wimmer. http://www9old.in.tum.de/people/wimmerm/se/project.eyefinder/.

Google Scholar

[14]

S. Yu. Tree-based 2020 eye detectors. http://yushiqi.cn/research/eyedetection, 2009.

Google Scholar

Cited By

View all

Rathnayake RMadhushan NJeeva ADarshani DSubasinghe ASilva BWijesinghe LWijenayake U(2023)Current Trends in Human Pupil Localization: A ReviewIEEE Access10.1109/ACCESS.2023.332529311(115836-115853)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325293
Ahmed MLaskar R(2022)Eye center localization using gradient and intensity information under uncontrolled environmentMultimedia Tools and Applications10.1007/s11042-021-11805-z81:5(7145-7168)Online publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1007/s11042-021-11805-z
Shehu IWang YAthuman AFu X(2021)Remote Eye Gaze Tracking Research: A Comparative Evaluation on Past and Recent ProgressElectronics10.3390/electronics1024316510:24(3165)Online publication date: 19-Dec-2021
https://doi.org/10.3390/electronics10243165
Show More Cited By

Index Terms

Dataset for the evaluation of eye detector for gaze estimation
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

An eye tracking dataset for point of gaze detection
ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

This paper presents a new, publicly available eye tracking dataset, aimed to be used as a benchmark for Point of Gaze (PoG) detection algorithms. The dataset consists of a set of videos recording the eye motion of human test subjects as they were ...
Real-time eye-gaze estimation using a low-resolution webcam

Eye detection and gaze estimation play an important role in many applications, e.g., the eye-controlled mouse in the assisting system for disabled or elderly persons, eye fixation and saccade in psychological analysis, or iris recognition in the ...
Eye detection and coarse localization of pupil for video-based eye tracking systems
Abstract
A video-based eye tracking system generally captures NIR images, each of which contains one or two eyes of a subject. The subject’s point of gaze is then determined using 3D eye model and pupil centre corneal reflection technique. Eye detection ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

September 2012

1268 pages

ISBN:9781450312240

DOI:10.1145/2370216

General Chair:
Anind K. Dey
Carnegie Mellon University
,
Program Chairs:
Hao-Hua Chu
National Taiwan University, Taiwan
,
Gillian Hayes
University of California, Irvine

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

Ubicomp '12

Sponsor:

Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing

September 5 - 8, 2012

Pennsylvania, Pittsburgh

Acceptance Rates

UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
48
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 21 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Rathnayake RMadhushan NJeeva ADarshani DSubasinghe ASilva BWijesinghe LWijenayake U(2023)Current Trends in Human Pupil Localization: A ReviewIEEE Access10.1109/ACCESS.2023.332529311(115836-115853)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325293
Ahmed MLaskar R(2022)Eye center localization using gradient and intensity information under uncontrolled environmentMultimedia Tools and Applications10.1007/s11042-021-11805-z81:5(7145-7168)Online publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1007/s11042-021-11805-z
Shehu IWang YAthuman AFu X(2021)Remote Eye Gaze Tracking Research: A Comparative Evaluation on Past and Recent ProgressElectronics10.3390/electronics1024316510:24(3165)Online publication date: 19-Dec-2021
https://doi.org/10.3390/electronics10243165
Ahmed N(2021)Real-time accurate eye center localization for low-resolution grayscale imagesJournal of Real-Time Image Processing10.1007/s11554-020-00955-218:1(193-220)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11554-020-00955-2
Ahmed MLaskar R(2021)Evaluation of accurate iris center and eye corner localization method in a facial image for gaze estimationMultimedia Systems10.1007/s00530-020-00744-827:3(429-448)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s00530-020-00744-8
Khan WHussain AKuru KAl-askar H(2020)Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer VisionSensors10.3390/s2013378520:13(3785)Online publication date: 6-Jul-2020
https://doi.org/10.3390/s20133785
Shehu IWang YAthuman AFu X(2020)Paradigm Shift in Remote Eye Gaze Tracking Research: Highlights on Past and Recent ProgressProceedings of the Future Technologies Conference (FTC) 2020, Volume 110.1007/978-3-030-63128-4_14(159-189)Online publication date: 31-Oct-2020
https://doi.org/10.1007/978-3-030-63128-4_14
Zhang XSugano YFritz MBulling A(2019)MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2017.277810341:1(162-175)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TPAMI.2017.2778103
Ahmed MLaskar R(2019)Eye center localization in a facial image based on geometric shapes of iris and eyelid under natural variabilityImage and Vision Computing10.1016/j.imavis.2019.05.00288:C(52-66)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1016/j.imavis.2019.05.002
Huang MLi JNgai GLeong H(2018)Quick Bootstrapping of a Personalized Gaze Model from Real-Use InteractionsACM Transactions on Intelligent Systems and Technology10.1145/31566829:4(1-25)Online publication date: 30-Jan-2018
https://dl.acm.org/doi/10.1145/3156682
Show More Cited By

Abstract

References

Cited By

Index Terms

Recommendations

An eye tracking dataset for point of gaze detection

Real-time eye-gaze estimation using a low-resolution webcam

Eye detection and coarse localization of pupil for video-based eye tracking systems

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations