Digital scorebook: football logging and visualization using image processing support

We propose a digital scorebook for football game which digitizes a football game video and presents it as an animation. The proposed system consists of player position estimation from the game video, event selection interface and player movement animation. Player position estimation allows for flexible movements and angles of the cameras including zoom in and out, pan, tilt, and yaw. This reliable and robust estimation of the player movement is based on image analysis by synthesis and Generalized Hough Transform(GHT). The operator can annotate game scenes based on player movement data using event selection interface. The player movement is represented by the animation whose characters have number or letter figures to emphasize the data. We demonstrate the applicability of player position estimation and play annotation scheme via the character behaviors in animation.