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 proceedingConference contributionpeer-review

4 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 languageEnglish
Title of host publication2018 IEEE International Conference on Robotics and Automation, ICRA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7119-7126
Number of pages8
ISBN (Electronic)9781538630815
DOIs
StatePublished - 10 Sep 2018
Externally publishedYes
Event2018 IEEE International Conference on Robotics and Automation, ICRA 2018 - Brisbane, Australia
Duration: 21 May 201825 May 2018

Publication series

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

Conference

Conference2018 IEEE International Conference on Robotics and Automation, ICRA 2018
Country/TerritoryAustralia
CityBrisbane
Period21/05/1825/05/18

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