Abstract
SUMMARYThese days, there is more demand for a camera‐based gaze estimation method for new interfaces and new marketing measurement tools. Considering these applications, the system should track a new user without any operation such as calibration. It should also admit user's natural head pose changes. Previous methods, however, need a calibration procedure before execution and have less accuracy in a head moving situation. In this paper, we propose a method which tracks the user's eyelids and iris automatically and accurately. Our method is a pretreatment of gaze estimation without any calibration and head pose restraint. First of all, we track the facial feature points from an input face image and estimate its head pose, extracting the eye region image. On the eye region image, we track the eyelid shape based on an eyelid shape model generated beforehand from PCA. Finally we track the iris inside the eyelid based on the eyeball model. The eyelid and iris tracking is processed by Particle Filter. An evaluation against a database including head pose changes confirmed that the accuracy of eyelid and iris tracking was improved compared with previous methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
