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Our research aims to generate a player's view video stream by using a 3D free-viewpoint video technique. Since player trajectories are necessary to generate the video, we propose a realtime player trajectory estimation method by utilizing the shadow regions from soccer scenes. This paper describes our trial to realize real-time processing. We divide the process into capture and server computers. In addition, we reduced the processing cost with pipeline parallelization and optimization. We apply our proposed method to an actual soccer match held in a stadium and show its effectiveness.