Abstract: For real-time detection of eye location problem, a real-time detection system of human eye based on Viola Jones algorithm is designed. Through the MATLAB, the real-time reading and positioning of the detected human eye pictures are controlled by the external or webcam. Through side view, top view, and upward view, it is shown that the human eye real-time positioning system has good detection effect and robustness. In view of the poor classification effect of small data sets on the head state, the random forest algorithm is used to classify the pitching Angle and yaw Angle by HOG-LBP fusion feature and haar-like feature respectively, and then the obtained pitching Angle and deflection Angle are fused. The accuracy of direct classification is improved by 4.5% compared with the point'04 data set.

Key words: integrated learning, viola-jones algorithm, eye location, head state detection, real-time detection