Fast Multiple Camera Head Pose Tracking

This paper presents a multiple camera system to de- termine the head pose of people in an indoor setting. Our approach extends current eye tracking techniques from a single camera system to a multiple camera sys- tem. The head pose of a person is determined by tri- angulating multiple facial features that are obtained in real-time from eye trackers. Our work is unique in that it allows us to observe user head orientation in real-time using several cameras over a much larger space than covered by a single camera. We demon- strate the viability of this system by experimenting with several people under different lighting conditions performing head movements.