Event-Based Eye Tracking. AIS 2024 Challenge Survey
Zuowen Wang Chang Gao Zongwei Wu Marcos V. Conde Radu Timofte Shih-Chii Liu Qinyu Chen Zheng-jun Zha Wei Zhai Han Han Bohao Liao Yuliang Wu Zengyu Wan Zhong Wang Yang Cao Ganchao Tan Jinze Chen Yan Ru Pei Sasskia Brüers Sébastien Crouzet Douglas McLelland Oliver Coenen Baoheng Zhang Yizhao Gao Jingyuan Li Hayden Kwok-Hay So Philippe Bich Chiara Boretti Luciano Prono Mircea Lică David Dinucu-Jianu Cătălin Grîu Xiaopeng Lin Hongwei Ren Bojun Cheng Xinan Zhang Valentin Vial Anthony Yezzi James Tsai
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.