Human face eye region positioning method for fatigue driving detection

The invention provides a human face eye region positioning method for fatigue driving detection. Under the condition that the head of a driver is relatively static and moves slowly, a human face detection process which needs a lot of calculating resources consumed by a cascade classifier can be omitted, and a face matching template is matched and a human face eye region is positioned quickly according to matching parameters of adjacent frame video images directly, while under the condition that the head of the driver relatively quickly moves, although the positioning efficiency is affected to a certain extent by reusing the cascade classifier for detecting the human face image region, no substantial influence is generated for the fatigue driving alarm function. Moreover, the relative position relationship of each face characteristic region in the human face image region is further determined and verified by virtue of the face matching template and the accuracy of a positioning result is ensured. By adopting a pixel gray level-based matching mode in matching, the data processing amount is small, the executing efficiency is relatively high and the human face eye region positioning speed is enhanced simultaneously when the relatively high accuracy is ensured.