Moving Detection And Tracking For Object In Video Surveillance

In order to achieve intelligent control and management, intelligent video surveillance system analysis and processing the video content with computer vision technology. The moving object detection and tracking, which is a key link to the following analysis and process, is not only the foundation but also a very important part of intelligent video surveillance system. Its property directly affects the performance of the whole system. Therefore, the research of moving object detection and tracking has very important meaning and application value.This paper dedicated to the research of moving object detection and tracking algorithm under complex background, the main contents include the following two parts.First, our research is based on the Vibe algorithm. As we know Vibe is a universal background subtraction algorithm, use the first frame to initialize its background model, which makes the initialization very fast. The only drawback is the moving target in the first frame will introduce an artifact called a ghost. As Vibe do nothing extra to eliminate the ghost area, so it takes a long process for ghost to fade over time. In order to solve this problem, we propose two fast eliminating ghost algorithm. First, When a pixel value was judged as foreground by Vibe, we continued to compare it with its neighboring model. If matching number reached the threshold,we identified the pixel value as ghost, then eliminated this pixel from foreground and re-initialized the pixel’s background model. Second, a new background sample won’t use to update the models of neighboring pixels; in order to avoid the misjudgment at pixel level, we detected the binary mask at blob level, which is detected by the improved Vibe algorithm; adding a second model and a cache to deal with ghost and short stay objects. The experimental results show that the improved algorithm is more effective in not only dealing with noisy point and ghost, but also short stay foreground target. Moving object detection algorithm is mainly used to extracting the moving targets which meet the conditions in reality. We find our improved algorithm is effective in detecting the vehicles passing the virtual test area.Second, now days, tracking algorithm is mainly used in target tracking stage after instruction in intelligent video surveillance system. Depends on the research ofmoving target detection and tracking algorithm, especially the vibe, we designed a tracking algorithm based on vibe and a regional invasion of target detection and tracking system which can achieve real-time compressed sensing tracking algorithm.The system can effectively detect targets invading protection zones and tracking them.