In this paper, we propose a Driver’s Awareness Catching System to sense the driver’s awareness. The system consists of a fisheye camera and a Kinect. The Kinect mounted inside vehicle is used to recognize and locate the 3D face of the driver. The fisheye camera mounted outside vehicle is used to monitor the road. The relative pose between two cameras is calibrated via a state-of-the-art method for calibrating cameras with non-overlapping field of view. The camera system works in this way: First, the SDK of Kinect released by Microsoft is used to tracking driver’s face and capture eye’s location together with sight direction. Secondly, the eye’s location and the sight direction are transformed to the coordinate system of fisheye camera. Thirdly, corresponding view field is extracted from fisheye image. As there is a small displacement between driver’s eyes and the optical center of fisheye camera, it will lead to a view angle deviation. Finally, we did a systematic analysis of the error distribution by numerical simulation and proved the feasibility of our camera system. On the other hand, we realized this camera system and achieved desired effect in realworld experiment.
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