Conversion of Player Locations from Football Goal Scene Videos to a 2D Top View
This paper describes a new process of generating a top view figure from football game videos that shows the positions of players to facilitate an efficient game analysis. At present, the top view figure is often created manually at the practical level and requires much time, thereby highlighting the need to automate the creation of this figure. In the proposed process, the top view figure is created in four steps. First, lines are detected from binarized images to recognize the area in front of the goal. Second, by using the recognized area and the predefined image of the football field, a projective transformation matrix is calculated to transform the point of view. Third, the players are extracted from the image by using the selective search method, while the sides of these players is determined based on their color information. The camera movement must also be detected in each frame and its influence must be ignored by tracking the feature points of the audiences’ seats. Fourth, considering the player information, the projective transformation matrix, and the camera movement, the top view figures are created by calculating the actual positions of players. Although the experiment results show few problems, we have successfully created top view figures for all frames in the selected football game video.
KeywordsVideo content analysis Football videos Field line detection Object detection
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