Research on Video Target Tracking Based on Fusion Algorithm

This paper proposes a fusion algorithm for video target tracking. Mean shift algorithm lacks necessary template update and can't change the width of the window. Particle filter algorithm has a good prediction of the occlusion region. Morphological algorithm has an advantage in edge detection. The fusion of the three algorithms can complement each other. The scenario can update the template in real time, and be updated to the width of the kernel function. Simulation results show that the proposed scheme can improve the robustness, real-time and accuracy of target tracking, and solve the problem of video target tracking, such as complex background, occlusion, tracking delay and so on.