A real-time robust eye tracking system for autostereoscopic displays using stereo cameras

Chan Hung Su, Yong-Sheng Chen*, Yi Ping Hung, Chu Song Chen, Jiun Hung Chen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Autostereoscopic display systems can provide users a natural 3-D visualization environment by projecting stereo video onto the user's eyes. Eye position localization is a central module in this kind of display system when users are allowed to move freely. This paper presents robust 3-D eye tracking techniques that can provide accurate eye positions in real time. Technical batteries comprise: (1) robust face detection based on eigenspace method; (2) real-time face tracking; and (3) eye detection in the obtained face region. According to our implementation on a PC with a Pentium IV 1.2 GHz CPU, the frame rate of the eye tracking process can achieve 25 Hz.

Original languageEnglish
Pages (from-to)1677-1681
Number of pages5
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume2
DOIs
StatePublished - 9 Dec 2003
Event2003 IEEE International Conference on Robotics and Automation - Taipei, Taiwan
Duration: 14 Sep 200319 Sep 2003

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