A Novel Real-Time Eye Detection in Human-Computer Interaction

Human eyes detection is one of the critical technologies in free stereoscopic display system. And the eye detection in free stereoscopic display system should be pretty accurate and real-time. To satisfy this demand, bright pupil effect under active infrared illumination is applied to provide the position of human eyes approximately; then the real AdaBoost algorithm is applied to locate human faces preliminarily and detect human eyes precisely; at the same time, the Kalman algorithm is applied to track the eye positions already detected to make sure the precision and speed of the human eyes detection further. On circumstance of Windows XP, PentiumIV, 512Memory, 2.4GHZ, for a video sequence of 640x480-pixel images, eye detection rate is 92.5%; the average processing time for each image is less than 10ms, meeting the need of real-time; this new method is also robust when there is variation of facial expression or a little degree leaning of human face.