Robust Image Mosaicing of Soccer Videos using Self-Calibration and Line Tracking |
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Authors: | Hyunwoon Kim Ki Sang Hong |
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Affiliation: | (1) Department of Electronic and Electrical Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea, KR |
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Abstract: | In this paper we propose an accurate and robust image mosaicing method of soccer video taken from a rotating and zooming camera
using line tracking and self-calibration. The mosaicing of soccer videos is not easy, because their playing fields are low
textured and moving players are included in the fields. Our approach is to track line features on the playing fields. The
line features are detected and tracked using a self-calibration technique for a rotating and zooming camera. To track line
features efficiently, we propose a new line tracking algorithm, called camera parameter guided line tracking, which works even when the camera motion undergoes sudden changes. Since we do not need to know any model for scenes beforehand,
the proposed algorithm can be easily extended to other video sources, as well as other sports videos. Experimental results
show the accuracy and robustness of the algorithm. An application of mosaicing is also presented. |
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Keywords: | :Inter-image homography Line tracking Rotating and zooming camera Self-calibration Soccer videos Video mosaicing |
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