Real-time Three-stage Eye Feature Extraction

The diversification of the development in humancomputer interaction provides users more and more interactive experience which is totally different than usual. As one of the sense organs that serve as a proxy for human attention and intention, we can give users better interaction closer to their need by observing the change of the eyes. This paper proposes a low-cost system, using a non-infrared off-the-shelf webcam, which can extract and track the eye features on the face. For getting a real-time and robust result, we propose a three-stage method based on the low variety in the geometry of faces so that these eye features just need to be searched in the small eye rectangle derived from that. Also, our system works without IR lights which are easily affected by environmental ambient light, and it ensures getting high accuracy outdoors as well as indoors and being easy to set up in real life.