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.
Abstract (translated)
本次调查对AIS 2024基于事件的眼跟踪（EET）挑战进行了回顾。挑战的重点在于通过事件相机记录的眼部运动来处理和预测眼睛的瞳孔中心。挑战强调了利用事件相机进行高效的眼跟踪以实现任务准确性和效率的权衡。在挑战期间，有38名参与者注册了Kaggle比赛，8支队伍提交了挑战事实册。本次调查对提交的事实册中的新颖且多样方法进行了审查和分析，以推动未来基于事件的眼跟踪研究的发展。
URL
https://arxiv.org/abs/2404.11770
