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Head Pose Estimation Based on 2 D and 3 D Information

A solution for driver monitoring and event detection based on 3D information from a range imaging camera is presented: The system combines 2D and 3D algorithms to provide head pose estimation and regions of interest identification. Starting with the captured cloud of 3D points from the sensor and the detection of a face in the 2D projection of it, the points that correspond to the head are determined and extracted for further analysis. Later the head pose estimation with 3 degrees of freedom (Euler angles) is estimated using ICP algorithm. As a final step, the important regions of the face are identified and used for further experimentation, e.g. gaze orientation, behavior analysis and more. The resulting application is a complete 3D driver monitoring application, based on low cost sensor; it is described how to combine both 2D and 3D computer vision algorithms for future human factors research enabling the possibility to study specific factors like driver drowsiness, gaze orientation or the head pose estimation itself. The experimental results shown are compared with ground-truth head movements obtained using an IMU.