Article

Depth Compensation Model for Gaze Estimation in Sport Analysis

Authors:

Fabricio Batista Narcizo,

Dan Witzner HansenAuthors Info & Claims

ICCVW '15: Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

Pages 788 - 795

https://doi.org/10.1109/ICCVW.2015.107

Published: 07 December 2015 Publication History

Abstract

A depth compensation model is presented as a novel approach to reduce the effects of parallax error for head-mounted eye trackers. The method can reduce the parallax error when the distance between the user and the target is prior known. The model is geometrically presented and its performance is tested in a totally controlled environment with aim to check the influences of eye tracker parameters and ocular biometric parameters on its behavior. We also present a gaze estimation method based on epipolar geometry for binocular eye tracking setups. The depth compensation model has shown very promising to the field of eye tracking. It can reduce 10 times less the influence of parallax error in multiple depth planes.

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Hansen DHeinrich ACañal-Bruland RKrejtz KSharif B(2019)Aiming for the quiet eye in biathlonProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319850(1-7)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319850
Su DLi YXiong C(2018)Study on Lens Distortion Model for Mobile Gaze TrackingProceedings of the 12th International Convention on Rehabilitation Engineering and Assistive Technology10.5555/3281667.3281737(333-336)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3281667.3281737

Depth Compensation Model for Gaze Estimation in Sport Analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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ICCVW '15: Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

December 2015

1100 pages

ISBN:9781467397117

Publisher

IEEE Computer Society

United States

Publication History

Published: 07 December 2015

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Hansen DHeinrich ACañal-Bruland RKrejtz KSharif B(2019)Aiming for the quiet eye in biathlonProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319850(1-7)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319850
Su DLi YXiong C(2018)Study on Lens Distortion Model for Mobile Gaze TrackingProceedings of the 12th International Convention on Rehabilitation Engineering and Assistive Technology10.5555/3281667.3281737(333-336)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3281667.3281737

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Real time gaze estimation with a consumer depth camera

Low-cost head position tracking for gaze point estimation

Measuring gaze depth with an eye tracker during stereoscopic display

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