By analyzing the flow of people, there is the research to optimize the location of buildings and obstacles. For this purpose, human tracking and trajectory visualization are necessary. In the conventional method, human tracking and trajectory visualization were done manually. However, this manual based methods take too much time and efforts. In this study, the application that enables quick and accurate people tracking and trajectory visualization is achieved. The comparison experiments between the conventional method and the proposed method were performed and the results are shown in this paper.