Implementation and analysis of moving objects detection in Video Surveillance

With the rapid development of science and technology and with the continuous improvement of people´s safe sense, Video Surveillance System has already been widely used in several fields, such as military affairs, production, daily life and so on. As the most basic and important part of Video Surveillance System, the detection of moving objects has been paid more attention. Therefore, this paper mainly implements and analyzes several commonly used methods for moving object detection in Video Surveillance System, such as temporal difference, median filtering and Single Gaussian model. The advantages and disadvantages of the methods are pointed out to help people make choices in applications.