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Authors: Radu Danescu 1 ; Adrian Sergiu Darabant 2 and Diana Borza 1

Affiliations: 1 Technical University of Cluj-Napoca, Romania ; 2 Babes Bolyai University, Romania

Keyword(s): Eye Tracking, Particle Filters, Real Time, Blink Detection, Deformable Model.

Abstract: Eye trackers – systems that measure the activity of the eyes – are nowadays used in creative ways into a variety of domains: medicine, psychology, automotive industry, marketing etc. This paper presents a real time method for tracking and measuring eye features (iris position, eye contour, blinks) in video frames based on particle filters. We propose a coarse-to-fine approach to solve the eye tracking problem: a first particle filter is used to roughly estimate the position of the iris centers. Next, this estimate is analysed to decide the state of the eyes: opened or half-opened/closed. If the eyes are opened, two independent particles filters are used to determine the contour of each eye. Our algorithm takes less than 11 milliseconds on a regular PC.

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Paper citation in several formats:
Danescu, R.; Sergiu Darabant, A. and Borza, D. (2017). Fast Eye Tracking and Feature Measurement using a Multi-stage Particle Filter. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP; ISBN 978-989-758-226-4; ISSN 2184-4321, SciTePress, pages 258-265. DOI: 10.5220/0006130202580265

@conference{visapp17,
author={Radu Danescu. and Adrian {Sergiu Darabant}. and Diana Borza.},
title={Fast Eye Tracking and Feature Measurement using a Multi-stage Particle Filter},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP},
year={2017},
pages={258-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006130202580265},
isbn={978-989-758-226-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP
TI - Fast Eye Tracking and Feature Measurement using a Multi-stage Particle Filter
SN - 978-989-758-226-4
IS - 2184-4321
AU - Danescu, R.
AU - Sergiu Darabant, A.
AU - Borza, D.
PY - 2017
SP - 258
EP - 265
DO - 10.5220/0006130202580265
PB - SciTePress

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