Event-Based Eye Tracking. AIS 2024 Challenge Survey
Zuowen WangUniversity of Science and Technology of ChinaChang GaoDelft University of TechnologyZongwei WuUniversity of WürzburgMarcos V. CondeUniversity of WürzburgRadu TimofteUniversity of WürzburgShih‐Chii LiuUniversity of Zurich and ETH Zurich,Institute of NeuroinformaticsQinyu ChenUniversity of ZurichZheng-Jun ZhaUniversity of Science and Technology of ChinaWei ZhaiUniversity of Science and Technology of ChinaHan HanUniversity of Science and Technology of ChinaBohao LiaoUniversity of Science and Technology of ChinaYuliang WuUniversity of Science and Technology of ChinaZengyu WanUniversity of Science and Technology of ChinaZhong WangUniversity of Science and Technology of ChinaYang CaoUniversity of Science and Technology of ChinaGanchao TanUniversity of Science and Technology of ChinaJinze ChenUniversity of Science and Technology of ChinaYan Ru PeiSasskia BrüersSébastien CrouzetDouglas McLellandOliver CoenenBaoheng ZhangThe University of Hong KongYizhao GaoThe University of Hong KongJingyuan LiThe University of Hong KongHayden Kwok‐Hay SoThe University of Hong KongPhilippe BichPolytechnic of TurinChiara BorettiPolytechnic of TurinLuciano PronoPolytechnic of TurinMircea LicăDelft University of TechnologyDavid Dinucu-JianuDelft University of TechnologyCătălin GrîuDelft University of TechnologyXiaopeng LinHongwei RenBojun ChengXinan ZhangGeorgia Institute of TechnologyValentin VialGeorgia Institute of TechnologyAnthony YezziGeorgia Institute of TechnologyJames TsaiGeorgia Institute of Technology
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ABI
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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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