Design And Implementation Of Vision-based Target Tracking System

With the rapid development of computer technology and image processing technology,machine vision has gradually become a hot research direction.The target tracking technology based on vision in this paper is an important research topic in the field of machine vision.It is a continuous process of the position and motion parameters estimation for single or multiple targets in the camera view.In recent years,information fusion estimation and filtering algorithm have been widely used in the field of target tracking.Therefore,this paper will locate and track the moving target in plane by combining image processing,information fusion and filtering algorithm.In this paper,for the target tracking system based on vision with multiple sensors,first,we need to calibrate each camera and determine the conversion relation of the camera-related coordination systems;then,obtain the image of the target during the movement from multiple cameras and preprocess images,such as filtering,edge detection and so on;and then,calculate pixel coordinates of target in image,and calculate world coordinates of target by the conversion relation of the camera-related coordinate system;finally,carry out the fusion and filtering processing on these world coordinates information to obtain more accurate location,movement parameters and trajectory of target.In this paper,we will use the weighted measurement fusion,Kalman filter and cubature Kalman filter to realize linear and curve target tracking based on vision.