This demonstration presents our system for inserting projected virtual content into broadcast tennis video based on camera matrix acquired. This system can automatically acquire the accurate camera matrix for each frame with the tennis court and insert projected virtual content consistent with camera motion. We achieve the accuracy of camera matrices via the proposed techniques of clip-wise data analysis and Hough-like search.

The ability to acquire the accurate camera matrix of each frame of a video clip is essential if virtual content is inserted into the images in a believable way. This paper presents our system for inserting projected virtual content into broadcast tennis video based on camera matrix acquired. To achieve the accurate camera matrix, we develop a new algorithm for the 3D camera calibration of broadcast tennis video, which improves the accuracy of camera matrices via the proposed techniques of clip-wise data analysis and Hough-like search. We divide all the camera parameters determining a camera matrix into two categories: clip-varying and frame-varying. For the clip-varying ones, we use a clip-wise data analysis procedure to achieve their accuracy. For the framevarying ones, we use a Hough-like search to tune them for each frame. Preliminary experiments results show that we can seamlessly insert projected virtual content into each frame.