Authors:
Kenta Yamagishi
and
Kentaro Takemura
Affiliation:
Graduate School of Engineering, Tokai University, Hiratsuka and Japan
Keyword(s):
Eye-tracking, RGB-IR Camera, 3D Eye Model.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Human and Computer Interaction
;
Human-Computer Interaction
Abstract:
Methods for eye tracking using images can be divided largely into two categories: Methods using a near-infrared image and methods using a visible image. These images have been used independently in conventional eye-tracking methods; however, each category of methods have different advantageous features. Therefore, we propose using these images simultaneously to compensate for the weak points in each technique, and an RGB-IR camera, which can capture visible and near-infrared images simultaneously, is employed. Pupil detection can yield better results than iris detection because the eyelid often occludes the iris. On the other hand, the iris area can be used for model fitting because the iris size is constant. The model fitting can be automated at initialization; thus, the relationship between the 3D eyeball model and eye camera is solved. Additionally, the positions of the eye and gaze vectors are estimated continuously using these images for tracking. We conducted several experiment
s for evaluating the proposed method and confirmed its feasibility.
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