BORE: Boosted-oriented edge optimization for robust, real time remote pupil center detection

Wolfgang Fuhl, Shahram Eivazi, Benedikt Hosp, Anna Eivazi, Wolfgang Rosenstiel, Enkelejda Kasneci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - ETRA 2018
Subtitle of host publication2018 ACM Symposium on Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450357067
DOIs
StatePublished - 14 Jun 2018
Externally publishedYes
Event10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018 - Warsaw, Poland
Duration: 14 Jun 201817 Jun 2018

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018
Country/TerritoryPoland
CityWarsaw
Period14/06/1817/06/18

Keywords

  • Boosting
  • Pupil center
  • Pupil detection
  • Remote eye tracking

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