Real-time patients´ face tracking based on facial feature matching

This paper will discuss how to track the faces of patients who only lie in bed in real-time. We propose a realtime mechanism to extract and track patients´ facial features effectively. When camera facing the patient´s face, we will use our DRK (Dynamic Radial Kernel) mechanism to record and match facial features. Then we will collect the information of the patient´s face. It could be provided to doctors for diagnostic aiding. For patients, this mechanism can bring a track record as well as warning function. We hope that this mechanism can provide a good feature of the health care.