A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios

摘要

We present an eye tracking system that works with regular webcams. We base our work on open source CVC Eye Tracker [7] and we propose a number of improvements and a novel gaze estimation method. The new method uses features extracted from iris segmentation and it does not fall into the traditional categorization of appearance-based/model-based methods. Our experiments show that our approach reduces the gaze estimation errors by 34% in the horizontal direction and by 12 % in the vertical direction compared to the baseline system.