关键词: 疲劳检测, 红外图像, Adaboost

Abstract:

For the problem of the influence of the illumination and speed and reliability of the previous fatigue detection algorithms, this paper proposes a fast algorithm of fatigue detection based on Adaboost. A great lot of infrared face images have been gained in variable environmental illumination using infrared. After the face detection, the features of eyes’ and mouths’ shapes are extracted from these images using the PCA method. The Adaboost training procedure trains two classifiers to detect fatigue expression using these features. In the detecting procedure, the features of eyes and mouths  to be detected are classified by the corresponding classifiers. Then doing the OR operation between the outputs of the classifiers gives the final result. This algorithm has not only high correct rate and fast speed but also a powerful ability to generally use robustness. And the response time of this algorithm satisfies  the realtime requirements.

Key words: fatiguedetection;infraredimage;Adaboost