Research Moving Target Detection And Tracking Technology Based On Matlab

In real life,people can see the vivid information of the outside through the eyes,the human eye is particularly sensitive to the mobile information,because the mobile information contains more effective information But a lot of realistic scenes people can not reach,then the need for machine vision to help people understand those who can not reach the actual situation,such as high-altitude mobile target monitoring,submarine target monitoring and other practical needs So the study of machine vision is particularly important Moving target detection and tracking As an important branch of machine vision,the research significance is very important.The moving target recognition and tracking is for the video information stored in the computer,and the video information can also be regarded as constituting the image sequence on the time axis by the frame image This paper moves the target detection and tracking in the fixed camera to capture the video in the case of the case Mainly including mobile target detection and tracking,detection is the video whether there is a moving target for intuitive detection,tracking is based on the detection of the target to determine the target in the adjacent frame in the process of the location This paper mainly introduces the basic concepts and related knowledge points of digital image processing from the aspects of video acquisition and preservation,moving target detection and tracking,and analyzes the methods of moving target detection and tracking Improved interframe difference method-three-frame difference method to achieve moving target detection,the use of moving target tracking algorithm in the two algorithms to achieve tracking Experiments show that the method can improve the detection and tracking effect The brief contents are as follows:1.In order to understand the characteristics of the digital image processing and the acquisition process of the video,the related concepts of digital image processing and the common processing methods in digital image processing are introduced in order to understand the post-moving target detection and tracking more easily Gray-scale transformation,mean filtering,median filtering,binarization)and the use of matlab for image acquisition and video preservation.2.In order to improve the tracking effect,we need to improve the effect of moving target detection In this paper,the three algorithms commonly used in moving target detection are introduced in detail,and the results are compared Finally,we propose a new method for moving target detection Three-frame difference method is the final algorithm for moving target detection,and the result is better by matlab simulation experiment.3.After the detection of the moving target,the two methods,the Kalman filter algorithm and the mean shift algorithm of the moving target tracking are introduced by using the detected moving target as the template of the tracking,and the simulation is carried out by using matlab.4.Because the Mean Shift mean drift algorithm is less effective in tracking the moving target and complex background,this paper uses the Mean Shift mean shift algorithm and the Kalman filter algorithm to track the moving target,which can effectively solve the problem that the target is obscured Happening.