Human face tracking optimization method for camera and intelligent health monitoring system based on videos

The invention discloses a human face tracking optimization method for a camera and an application. According to the method, interference of colors, similar to a human face, of objects on the periphery of the human face to a self-adaptive window can be reduced in histogram calculation optimization and jumping verification manners and the like on the basis of Camshift tracking, so that the camera can quickly and accurately track the human face; besides, when the method is applied to an intelligent health monitoring system, the human face can be quickly and accurately tracked, and preparations are made for acquisition of physiological parameters and expression recognition.