Event-Based Eye Tracking
AIS 2024 Challenge Survey
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Author / Producer
Date
2024
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
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Rights / License
Abstract
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting the pupil center of the eye. The challenge emphasizes efficient eye tracking with event cameras to achieve good task accuracy and efficiency trade-off. During the challenge period, 38 participants registered for the Kaggle competition, and 8 teams submitted a challenge factsheet. The novel and diverse methods from the submitted factsheets are reviewed and analyzed in this survey to advance future event-based eye tracking research.
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Publication status
published
External links
Editor
Book title
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Journal / series
Volume
Pages / Article No.
5810 - 5825
Publisher
IEEE
Event
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2024)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Event camera; Eye tracking; Computer vision; Dynamic vision sensor
Organisational unit
02533 - Institut für Neuroinformatik / Institute of Neuroinformatics
Notes
Funding
Related publications and datasets
Is supplemented by: https://github. com/EETChallenge/challenge_demo_code