Moving Object Tracking Method in Dynamic Image Based on Machine Vision

Abstract

Moving object tracking in moving images is an important research topic in the field of machine vision. It is widely used in military and civilian fields, and has important research significance and value. In this paper, a moving target tracking method based on machine vision is proposed. On the basis of understanding the difficulties of moving target tracking, the information acquisition of moving target dynamic image is completed through input and digitization steps; The region segmentation method is used to extract the features of the collected target information; Detect the target information based on yolov3 algorithm; Finally, the kernel correlation filter is used to track the target. The experimental results show that the P and R values of this algorithm are slightly lower than those of KCF and SA algorithms, but the FPS value is higher than those of these two algorithms, It shows that this method has certain application value.