Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference

David Geisler; Dieter Fox; Enkelejda Kasneci

doi:10.1109/ICRA.2018.8460800

Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference

David Geisler, Dieter Fox, Enkelejda Kasneci

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

5 Scopus citations

Abstract

As human gaze provides information on our cognitive states, actions, and intentions, gaze-based interaction has the potential to enable a fluent and natural human-robot collaboration. In this work, we focus on reliable gaze estimation in remote eye tracking based on calibration-free methods. Although these methods work well in controlled settings, they fail when illumination conditions change or other objects induce noise. We propose a novel, adaptive method based on a probabilistic model, which reliably detects glints from stereo images and evaluate our method using a data set that contains different challenges with regarding to light and reflections.

Original language	English
Title of host publication	2018 IEEE International Conference on Robotics and Automation, ICRA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7119-7126
Number of pages	8
ISBN (Electronic)	9781538630815
DOIs	https://doi.org/10.1109/ICRA.2018.8460800
State	Published - 10 Sep 2018
Externally published	Yes
Event	2018 IEEE International Conference on Robotics and Automation, ICRA 2018 - Brisbane, Australia Duration: 21 May 2018 → 25 May 2018

Publication series

Name	Proceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)	1050-4729

Conference

Conference	2018 IEEE International Conference on Robotics and Automation, ICRA 2018
Country/Territory	Australia
City	Brisbane
Period	21/05/18 → 25/05/18

Access to Document

10.1109/ICRA.2018.8460800

Cite this

Geisler, D., Fox, D., & Kasneci, E. (2018). Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference. In 2018 IEEE International Conference on Robotics and Automation, ICRA 2018 (pp. 7119-7126). Article 8460800 (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2018.8460800

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title = "Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference",

abstract = "As human gaze provides information on our cognitive states, actions, and intentions, gaze-based interaction has the potential to enable a fluent and natural human-robot collaboration. In this work, we focus on reliable gaze estimation in remote eye tracking based on calibration-free methods. Although these methods work well in controlled settings, they fail when illumination conditions change or other objects induce noise. We propose a novel, adaptive method based on a probabilistic model, which reliably detects glints from stereo images and evaluate our method using a data set that contains different challenges with regarding to light and reflections.",

author = "David Geisler and Dieter Fox and Enkelejda Kasneci",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Robotics and Automation, ICRA 2018 ; Conference date: 21-05-2018 Through 25-05-2018",

year = "2018",

month = sep,

day = "10",

doi = "10.1109/ICRA.2018.8460800",

language = "English",

series = "Proceedings - IEEE International Conference on Robotics and Automation",

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

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Geisler, D, Fox, D & Kasneci, E 2018, Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference. in 2018 IEEE International Conference on Robotics and Automation, ICRA 2018., 8460800, Proceedings - IEEE International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers Inc., pp. 7119-7126, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, 21/05/18. https://doi.org/10.1109/ICRA.2018.8460800

Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference. / Geisler, David; Fox, Dieter; Kasneci, Enkelejda.
2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 7119-7126 8460800 (Proceedings - IEEE International Conference on Robotics and Automation).

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

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AU - Kasneci, Enkelejda

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Y1 - 2018/9/10

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AB - As human gaze provides information on our cognitive states, actions, and intentions, gaze-based interaction has the potential to enable a fluent and natural human-robot collaboration. In this work, we focus on reliable gaze estimation in remote eye tracking based on calibration-free methods. Although these methods work well in controlled settings, they fail when illumination conditions change or other objects induce noise. We propose a novel, adaptive method based on a probabilistic model, which reliably detects glints from stereo images and evaluate our method using a data set that contains different challenges with regarding to light and reflections.

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DO - 10.1109/ICRA.2018.8460800

M3 - Conference contribution

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T3 - Proceedings - IEEE International Conference on Robotics and Automation

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BT - 2018 IEEE International Conference on Robotics and Automation, ICRA 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Robotics and Automation, ICRA 2018

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ER -

Geisler D, Fox D, Kasneci E. Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference. In 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 7119-7126. 8460800. (Proceedings - IEEE International Conference on Robotics and Automation). doi: 10.1109/ICRA.2018.8460800

Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference

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