A review of vision-based systems for soccer video analysis
Pattern Recognition
Computer Vision and Image Understanding
A method for identification of moving objects by integrative use of a camera and accelerometers
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Hybrid robotic/virtual pan-tilt-zom cameras for autonomous event recording
Proceedings of the 21st ACM international conference on Multimedia
One-man-band: a touch screen interface for producing live multi-camera sports broadcasts
Proceedings of the 21st ACM international conference on Multimedia
Camera calibration in sport event scenarios
Pattern Recognition
Interactive Zoom and Panning from Live Panoramic Video
Proceedings of Network and Operating System Support on Digital Audio and Video Workshop
Proceedings of the 5th ACM Multimedia Systems Conference
Features extraction for soccer video semantic analysis: current achievements and remaining issues
Artificial Intelligence Review
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We are studying about automatic production of soccer sports videos for easy understanding by using digital camera work on camera fixed videos. The digital camera work is a movie technique which uses virtual panning and zooming by clipping frames from hi-resolution images and controlling the frame size and position. We have studied so far digital panning. In this paper, we propose a method of digital zooming by automatically recognizing the game situation or events such as penalty kick and free kick based on player and ball tracking. These recognition results are used as key indices to retrieve the event scenes from soccer videos. We compared the proposed technique with a conventional technique by AHP method that can reflect an individual subjectivity.