关键词: 人眼定位, 多角度, Sobel边缘提取, 马尔科夫链, 预测

Abstract: The main method of fatigue detecting can be divided into two part, one would be detecting the behavior of body which includes the head and stuff. The other would be detecting the biological signals including the state of mouth and eyes or the brain signals. The common and the disadvantages of these processes is the judgement that only can be made after getting into the fatigue state. Serious accident might happen if the driver starts braking delay tenths of second. Aiming at this disadvantage, this paper presents a method about forecasting the next period fatigue state according to the current data. It can prevent the accident happening effectively. It locates the eyes in multi-angle by using the horizontal gray-level projection and the gray value standard deviation, counts the eye-state-threshold by using a simple and accurate method presented by this paper. Markov chain would be used to forecast the fatigue state. The result shows that this method has high accuracy in forecasting with a good real-time.

Key words: eye location, multi-angle, Sobel edge extraction, Markov chain, forecast