Rate-control Algorithm of H. 264 /AVC Based Human Visual System
Bai Yun-fe · Video Engineering · 2014
In order to quickly get information when old man fall down and need timely assistance,a kind of intelligent video surveillance system is designed and implemented which people need no device to wear. To monitor the video stream for human detection,technology like the H. 264 video standard,remote monitoring is realized by using B /S network structure model. An improved method of Gauss mixture model is used to update the background.The background subtraction method is used to segment the moving object. The experiment indicates that the client can be remotely monitored and accurate segmentation of the human targets,automatically identify the person's gesture. It can make an alert when people fall down or other anomalies occurred. The system satisfies the requirement of real-time,low rate of false positives and good robustness.