An Efficient Moving Target Tracking Strategy Based on OpenCV and CAMShift Theory

Abstract

Image movement involved background movement and target movement. The complexities of movement increased the difficulty of target tracking. This study was implemented in the Window platform and the Microsoft visual C com- piler environment, and used camera as a video capture device. The system of mov- ing target detection and tracking was realized based on continuously adaptive mean shift and open computer vision theory, achieved moving target tracking by improving the algorithm. The experimental results showed that the proposed mov- ing target detection algorithm was superior to the traditional mean shift tracking. It could track target efficiently, and further real-time drew motion trajectory.