A Weak Target Tracking Algorithm Implement on Networked Multi-Agent Control Framework

With the rapid development of computer science and technology, target tracking technology related to computer vision has become a hot research topic. Target tracking technology is to find the region of interest from each frame of video sequence to analyze and find the location of the target to be tracked. This paper presents a weak target tracking method under the condition of strong light spot interference. Firstly, the edge extraction method is used to locate and extract the strong spot. Secondly, the pixels of each strong spot are filled with the medium value pixels in the field, which can eliminate the strong spot. When the weak target coincides with the strong spot, it can avoid the problem of tracking target transfer the target due to the strong spot significance. Finally, to evaluate the performance of the proposed method, we carried out a large number of experiments on our networked multi-agent control framework. Through the qualitative and quantitative analyses of the experimental results, we verified that the weak targets tracking performance of the method is effective and robust.