Real Time Eye Localization and Tracking

In this paper a reduced complexity eye tracking technique is introduced. The proposed technique is based on a recently introduced eye localization method [5]. In order to exploit its accuracy and robustness under difficult illumination conditions, the presence of occlusions, shadows and pose variations, and making possible its use in real-time applications, we drastically reduce its computational cost while in the same time its accuracy is increased, by the use of an efficient tracking scheme. We also implement the proposed method in low-level C++ programming, using the OpenCV library, thus reducing even more its computational cost. All experiments we have conducted confirm our claims.