Archivio Istituzionale della RicercaThis 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.
Event-Based Eye Tracking. AIS 2024 Challenge Survey / Wang, Zuowen; Gao, Chang; Wu, Zongwei; Conde, Marcos V.; Timofte, Radu; Liu, Shih-Chii; Chen, Qinyu; Zha, Zheng-jun; Zhai, Wei; Han, Han; Liao, Bohao; Wu, Yuliang; Wan, Zengyu; Wang, Zhong; Cao, Yang; Tan, Ganchao; Chen, Jinze; Pei, Yan Ru; Brüers, Sasskia; Crouzet, Sébastien; Mclelland, Douglas; Coenen, Oliver; Zhang, Baoheng; Gao, Yizhao; Li, Jingyuan; So, Hayden Kwok-Hay; Bich, Philippe; Boretti, Chiara; Prono, Luciano; Lică, Mircea; Dinucu-Jianu, David; Grîu, Cătălin; Lin, Xiaopeng; Ren, Hongwei; Cheng, Bojun; Zhang, Xinan; Vial, Valentin; Yezzi, Anthony; Tsai, James. - ELETTRONICO. - 30:(2024), pp. 5810-5825. (Intervento presentato al convegno IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) tenutosi a Seattle, WA (USA) nel 17-18 June 2024) [10.1109/cvprw63382.2024.00590].
Event-Based Eye Tracking. AIS 2024 Challenge Survey
Bich, Philippe;Boretti, Chiara;Prono, Luciano;
2024
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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AIS_2024_Event_based_Eye_Tracking_Challenge_Final_Report.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
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Pubblico - Tutti i diritti riservati
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3.34 MB
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Prono-Event.pdf
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Tipologia:
2a Post-print versione editoriale / Version of Record
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Non Pubblico - Accesso privato/ristretto
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1.92 MB
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1.92 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
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https://hdl.handle.net/11583/2993046