ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Accurate Camera Calibration for Off-line, Video-Based Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Robust goal-mouth detection for virtual content insertion
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A real-time augmented-reality system for sports broadcast video enhancement
Proceedings of the 15th international conference on Multimedia
A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ViSA: virtual spotlighted advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Computer Vision and Image Understanding
Tennis Video 2.0: A new presentation of sports videos with content separation and rendering
Journal of Visual Communication and Image Representation
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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.