Robust Posture Estimation for a Driver under the Condition of Lighting Changes

Abstract

In this study, we are aimed for the posture estimation that considered influence to lighting changes. We proposed the algorithm that considers a bad condition by using 3-D data and 2-D animation. The decrease at the gaze forward rate caused by the psychological condition and becomes tired is a problem of safety driving. There is a technique for detecting looking away and looking down for a long time by estimation driving person's face posture from the image as this method of settlement. However, conventional technique using images in the posture estimation, that is a problem of receiving a strong influence to the lighting condition and the size of the database. In this technique, it pays attention to strong for the lighting changes 3-D data and texture information. Making the database solved these problems, accuracy average was obtained 89[%] and estimation speed was obtained 6[f/s].