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Authors: Adam Strupczewski 1 ; Błażej Czupryński 1 ; Jacek Naruniec 2 and Kamil Mucha 1

Affiliations: 1 Samsung Electronics Poland, Poland ; 2 Warsaw University of Technology, Poland

Keyword(s): Eye Gaze Tracking, Head Pose Tracking, Iris Localization, Feature Matching, Pose Estimation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: This paper presents a novel eye gaze estimation method based on calculating the gaze vector in a geometric approach. There have been many publications in the topic of eye gaze estimation, but most are related to using dedicated infra red equipment and corneal glints. The presented approach, on the other hand, assumes that only an RGB input image of the user’s face is available. Furthermore, it requires no calibration but only simple one-frame initialization. In comparison to other systems presented in literature, our method has better accuracy. The presented method relies on determining the 3D location of the face and eyes in the initialization frame, tracking these locations in each consecutive frame and using this knowledge to estimating the gaze vector and point where the user is looking. The algorithm runs in real time on mobile devices.

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Paper citation in several formats:
Strupczewski, A.; Czupryński, B.; Naruniec, J. and Mucha, K. (2016). Geometric Eye Gaze Tracking. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 444-455. DOI: 10.5220/0005676304440455

@conference{visapp16,
author={Adam Strupczewski. and Błażej Czupryński. and Jacek Naruniec. and Kamil Mucha.},
title={Geometric Eye Gaze Tracking},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={444-455},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005676304440455},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Geometric Eye Gaze Tracking
SN - 978-989-758-175-5
IS - 2184-4321
AU - Strupczewski, A.
AU - Czupryński, B.
AU - Naruniec, J.
AU - Mucha, K.
PY - 2016
SP - 444
EP - 455
DO - 10.5220/0005676304440455
PB - SciTePress