The Research On Multi Moving Target Detection Based On Video Image

Virtual reality technology is also called VR.Currently,VR is in addition to widely used in commerce,sports,entertainment and so on outside,but also in terms of large and medium preview,hotel digitization,exhibitions,urban planning,cultural centers and exhibition it has also been used,and it manifested increasingly attractive the more attractive.The primary characteristic of virtual reality system is a system interaction.You must use a special human interface with external devices in order to achieve human-computer interaction.This interactive interface to make the computer not only to be able to feedback to the user,but also the computer can read user input.The paper is based on large-scale cultural campus virtual exhibition design system target group interaction module.And do some research about multiple moving targets detection and tracking based on the video image to achieve the user information is input to the computer.We need several steps to achieve human targets motion detection and tracking through?First of all,we need isolate background to get a background image.Second,we need to detect the target to extracte the target from video sequence.Finally,track the extracted targets.For groups of targets interactive technology,it still needs to distinguish the different targets.This paper describes the various steps of multi-target identification and tracking.Study the background separation of the RGB iamges,grayscale images and the edge image.It costs more time to study the background separation of the RGB iamges.And improve the solution of RGB images' background extraction based on the average level.To solve the problem of the background image's real-time property in video sequence,but also uses the background updating algorithms.Get a background image of a video sequence by using background isolation.Use the background substraction to separate the target and background.In order to improve the accuracy of target detection,it also uses image filtering,image morphology processing methods.Then make experiment to realize the detection and detection of targets.In this paper,three different target detection and tracking methods have been discussed.A multi Human Target Tracking Algorithm Based on the location of the minimum bounding rectangle of human body is put forward by studying the moving target tracking process.Use the target's minimum bounding rectangle to indicate the target.Then track the different targets using their locations.Through the above steps,we get a series of image sequence which have the targets have been recognized.As show in the experimental results,the method for multi-human targets tracking and detection in this paper achieved rapid and accurate results.