TY - GEN
T1 - BORE
T2 - 10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018
AU - Fuhl, Wolfgang
AU - Eivazi, Shahram
AU - Hosp, Benedikt
AU - Eivazi, Anna
AU - Rosenstiel, Wolfgang
AU - Kasneci, Enkelejda
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/14
Y1 - 2018/6/14
N2 - Undoubtedly, eye movements contain an immense amount of information, especially when looking to fast eye movements, namely time to the fixation, saccade, and micro-saccade events. While, modern cameras support recording of few thousand frames per second, to date, the majority of studies use eye trackers with the frame rates of about 120 Hz for head-mounted and 250 Hz for remote-based trackers. In this study, we aim to overcome the challenge of the pupil tracking algorithms to perform real time with high speed cameras for remote eye tracking applications. We propose an iterative pupil center detection algorithm formulated as an optimization problem. We evaluated our algorithm on more than 13,000 eye images, in which it outperforms earlier solutions both with regard to runtime and detection accuracy. Moreover, our system is capable of boosting its runtime in an unsupervised manner, thus we remove the need for manual annotation of pupil images.
AB - Undoubtedly, eye movements contain an immense amount of information, especially when looking to fast eye movements, namely time to the fixation, saccade, and micro-saccade events. While, modern cameras support recording of few thousand frames per second, to date, the majority of studies use eye trackers with the frame rates of about 120 Hz for head-mounted and 250 Hz for remote-based trackers. In this study, we aim to overcome the challenge of the pupil tracking algorithms to perform real time with high speed cameras for remote eye tracking applications. We propose an iterative pupil center detection algorithm formulated as an optimization problem. We evaluated our algorithm on more than 13,000 eye images, in which it outperforms earlier solutions both with regard to runtime and detection accuracy. Moreover, our system is capable of boosting its runtime in an unsupervised manner, thus we remove the need for manual annotation of pupil images.
KW - Boosting
KW - Pupil center
KW - Pupil detection
KW - Remote eye tracking
UR - http://www.scopus.com/inward/record.url?scp=85049674953&partnerID=8YFLogxK
U2 - 10.1145/3204493.3204558
DO - 10.1145/3204493.3204558
M3 - Conference contribution
AN - SCOPUS:85049674953
T3 - Eye Tracking Research and Applications Symposium (ETRA)
BT - Proceedings - ETRA 2018
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
Y2 - 14 June 2018 through 17 June 2018
ER -