[Papers] Method of Multiview Video Switching for Soccer Game Analysis in Large Scale Space

Abstract

Research on tactical and performance analysis utilizes videos of dynamic sports scenes. An effective multiview video switching method can support the analysis. Bullet-time video is a multiview video browsing approach. Because the image is presented almost as it is, it is suitable for high-quality observations of the subject from multiple directions. This paper proposes a multiview image switching method for understanding dynamic scenes in large-scale spaces such as soccer games. We develop a prediction model for the camerawork for shooting Bullet-time videos. The model using deep neural network, which can estimate a suitable viewpoint to observe the target scene from the position information of the soccer players, ball, and goals.