The Video Monitoring Of Abnormal Behaviors Of Sleep-Related Breathing System Patients

Recognition of human behavior pattern which is an important bifurcation of Artificial Intelligence has become the research emphasis of Machine Vision area in recent years.Recognition of human behavior pattern contains detection of animated objects from video sequence,the feature extraction from objects and comprehension of these information to recognize human behaviors.In this paper,in the basis of sleep-related breathing monitoring system increased video monitoring system with computer. Because the sleep respiratory syndrome patients always hyperactivity during sleep,we do real-time monitoring using image processing technique to recognize human poseture,such as lying sitting and standing,so the nurse or the doctor could learn the situation of patients in the process of sleep through the night,It's provide valuable data for the doctor to diagnosing the illness and making treatment plan.The system will be alarmming when the patiens make abnormal behavior such as sitting and standing.The main contents of this paper is based on image processing and image analysis theory, and the related algorithm of human behavior recognition areas are studied and compared on the domestic. The frame difference method and background difference method commonly used in the field of moving object detection are analyzed, and the testing results of each method are analyzed and compared. The shortcoming of inter-frame difference method is low precision and slow background update of single-Gaussian, so a motion detection algorithm is introduced, which combines the improved three-frame difference frame difference and background difference method. The background of the method is updated by the background updating algorithm of surendra. The method can meet real time requirements of the subject, and the prospect detected by the method is also very effective. Compared with the signal frame difference method and the background difference method, the combination of background difference method and the three check points method removes their shortcoming, but it combines the advantages of both. After detect the vedio data's prospects,We need to remove the noise and a series of processing .We need to analysis and explain the behavior which the sleep respiratory syndrome patients have do.With the patient's symptoms and the purpose of this paper have to achieve the video monitoring that without somebody on duty. This paper defined the patient's sitting up and standing up as the abnormal behavior of human body.Through the human body lying,sitting,standing,feature We have established three rectangular model of the dynamic posture. Then through the analysis to determine the parameters of the rectangle achieve the identification of the human body posture. After the detection of abnormal behavior in addition to the monitor shows the current status of the patient. Also be programmed to start the buzzer, an alarm to notify staff. The results indicate that the video monitoring system can realize real-time human body posture recognition, complete abnormal behavior to the nurse and doctor..