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With the computer information processing, visual processing, the rapid development of multimedia technology, computer video surveillance system in terms of national security, more and more obvious the important role played by the public attention. The video monitoring technology in motion detection technology is an important research direction in this field, this paper through the existing main target detection algorithm, the summary and analysis based on the a new detection algorithm, can achieve effective update the background and applied to a complete intelligent video surveillance system, the system has better detection.Moving target detection technology is the computer video surveillance system in the first and key technologies, it is the future of computer vision technology and monitoring technology to a more advanced level of development of the premise. The purpose of moving target detection is to find areas in motion, is to achieve the real video image sequences to extract the prospect of monitoring moving objects in the scene, and the detected moving object segmentation.In this thesis, the current mainstream video detection algorithms, such as optical flow, background subtraction method, frame difference method, entropy detection analysis and research experiments to compare the advantages and disadvantages, scope, problems and approaches. In the control background and frame difference method difference method based on the principle of conduct, proposed the use of video cameras fixed in the moving target detection methods, background can be effectively updated, more accurate extraction of the moving target, and to reduce as external light conditions, background disturbance, noise and other interference factors impact. Tests show that the algorithm accurately, a very good test results.
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