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A Non-Invasive Computer Vision System For Reliable Eye Tracking

By Antonio Haro and Irfan Essa

Abstract

Knowing what the user is attending to and what they are looking at is essential for creating attentive user interfaces. Towards this end, we are building a reliable, real-time, non-invasive eye tracker using computer vision. Our system can robustly locate and track eyes without any calibration, and estimate the user’s focus of attention. We have built several higher-level processes on top of this tracking system and have done some user studies to test the viability of our approach

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.8024
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