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In this paper, a system for temporally consistent registration of a soccer field is proposed. It is implemented using 2D field line and arc detection as well as motion estimation for frames where too few field lines are detected. We show that a combination of these technologies yields more consistent results than common state-of-the-art approaches. As an(More)
Player detection in sports video is a challenging task: In contrast to typical surveillance applications, a pan-tilt-zoom camera model is used. Therefore, simple background learning approaches cannot be used. Furthermore, camera motion causes severe motion blur, making gradient based approaches less robust than in settings where the camera is static. The(More)
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