Research On Moving Object Detectiqn And Tracking Algorithms Based On Video Sequenc

In our daily lives, the environment in people’s lives, Visual information accountedfor a large proportion. In recent years, with rapid economic and social development,people’s demand for video surveillance systems is growing. Traditional surveillancesystems need to staff on duty. There are some limitations. Therefore, a study ofintelligent video surveillance system is very important. Intelligent monitoring system ofmoving object detection and tracking based on video sequence is a very important issueand has a very broad application prospects.In this paper, it is a study of moving object detection and tracking based on videosequence and has a comprehensive summary of the current research in the field. On thisbasis, there is an in-depth analysis of current problems and difficulties and propose animproved algorithm.On moving target detection, this paper studies the three most commonly useddetection methods. Include an analysis and comparison of the advantages anddisadvantages of these three algorithms. Based on the background subtraction methodthere is a proposing of the update of the adaptive background model in order to improvethe applicability of the detection algorithm.Terms in the target tracking, this article lists the three goals to trackimplementation. Has a detailed introduction of Kalman filter and Meanshiftalgorithm.And there is a proposing of an integrate tracking method of Kalman andMeanshift algorithm. Tried in the actual test,it is able to achieve more accurate detectionof the moving target.