Based On The Background Of The Pci Video Surveillance System To Extract And Update Algorithm And Its Implementation

The development of economy and society improves the living situations of people. At the same time, people pay more attentions to the society security. And with the development of electrical techniques, computer techniques and signal processing techniques, it's possible to apply high-tech, information-based and intelligent techniques to the society security. Among other things, video surveillance systems are used widely because it can provide intuitive and reliable information. At present, video surveillance systems have been developed to its 4th generation which can provide digital, network-based and intelligent video surveillance service.This paper introduces a digital surveillance system with novel structure and good expansibility. This system process intelligent surveillance algorithm and interact with host via PCI bus.The background subtraction is an important approach in video-based vehicle detection.The approach segments moving vehicles in the camera's field-of-view through the difference between a reference frame,called referenced background image,and the current input frame.The key of background subtraction is to extract and update the background image adaptively in changeable road environment affected by all kinds of factors such as weather and illumination condition.Besides the platform, an algorithm on background extraction and updating is designed and accomplished, which is integrated into this surveillance system. the principle of the background extraction and updating algorithm based on Surendra and Gaussian mixture model is introduced, and the algorithm flow and algorithm characteristic is analyzed. Modified algorithm based on Surendra and Gaussian mixture model is proposed. It is basic for the many image processings, such as tracking, identification, action analysis to target, and so on.