Research on video-based moving object tracking

Abstract

Video based motion object tracking is an important research topic in the field of computer vision. This paper studies the development of video tracking technology, compares and analyzes object tracking algorithms based on contrast analysis, motion detection, and matching, and summarizes the characteristics of each algorithm. In addition, through comprehensive research and analysis, this paper has designed and implemented vehicle video tracking based on SIFT (Scale-invariant Feature Transform) in dynamic backgrounds. This practical application environment is relatively complex, with dual motion of background and target, and there are also many noise points, lighting changes, and occlusions in the environment, effectively solving the problem of moving target tracking in dynamic and complex backgrounds.