Real-time patients' face tracking based on facial feature matching
Hsin-Hung Chiang, Wei-Ming Chen, Chiou-Shan Chou, Han‐Chieh Chao · 2012
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.