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Accelerated exhaustive eye glints localization method for infrared video oculography

Published: 09 April 2018 Publication History

Abstract

Human eye glints localization could significantly and directly improve accuracy of gaze tracking, especially when several glints are localized precisely at the same time. However, traditional algorithms have not ensured the accuracy of glints localization to be used for gaze tracking. Aiming at the problem in infrared video oculography that those glints reflected on the surface of eye iris could be hard to identify and localize, we propose an algorithm for precisely and exhaustively locating eye glints of high accuracy with accelerated process. Our contributions are two-folded. (1). We propose an exhaustive eye glints localization algorithm, which could guarantee both 94.9% recognition rate and < 1 pixel positional accuracy under various brightness conditions. (2). We propose methods to accelerate our algorithm, including a modified quadratic ellipse difference algorithm and video frame difference examination, which guarantee the real-time video processing requirement for gaze tracking system.

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Cited By

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  • (2021)Usability, occupational performance and satisfaction evaluation of a smart environment controlled by infrared oculography by people with severe motor disabilitiesPLOS ONE10.1371/journal.pone.025606216:8(e0256062)Online publication date: 13-Aug-2021
  • (2021)Detection and Correspondence Matching of Corneal Reflections for Eye Tracking Using Deep Learning2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412066(2210-2217)Online publication date: 10-Jan-2021
  • (2020)Eye Tracking Algorithms, Techniques, Tools, and Applications with an Emphasis on Machine Learning and Internet of Things TechnologiesExpert Systems with Applications10.1016/j.eswa.2020.114037(114037)Online publication date: Sep-2020

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  1. Accelerated exhaustive eye glints localization method for infrared video oculography

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    cover image ACM Conferences
    SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing
    April 2018
    2327 pages
    ISBN:9781450351911
    DOI:10.1145/3167132
    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]

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    Published: 09 April 2018

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    Author Tags

    1. ellipse difference method
    2. gaze tracking
    3. glints localization
    4. glints tracking
    5. pupil detection

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    SAC 2018: Symposium on Applied Computing
    April 9 - 13, 2018
    Pau, France

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    View all
    • (2021)Usability, occupational performance and satisfaction evaluation of a smart environment controlled by infrared oculography by people with severe motor disabilitiesPLOS ONE10.1371/journal.pone.025606216:8(e0256062)Online publication date: 13-Aug-2021
    • (2021)Detection and Correspondence Matching of Corneal Reflections for Eye Tracking Using Deep Learning2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412066(2210-2217)Online publication date: 10-Jan-2021
    • (2020)Eye Tracking Algorithms, Techniques, Tools, and Applications with an Emphasis on Machine Learning and Internet of Things TechnologiesExpert Systems with Applications10.1016/j.eswa.2020.114037(114037)Online publication date: Sep-2020

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