Abstract
The ball is really hard to be detected when it is merged with field lines or players in soccer video. A trajectory based ball detection scheme together with an approach of playfield detection is proposed to solve this problem. Playfield detection plays a fundamental role in semantic analysis of soccer video. An improve Generalized Lloyd Algorithm (GLA) based method is introduced to detect the playfield. Based on the detected playfield, an improved Viterbi algorithm is utilized to detect and track the ball. A group of selected interpolation points are calculated employing least squares method to track the ball in the playfield. An occlusion reasoning procedure is used to further qualify some undetected and false ball positions. The experimental results have verified their effectiveness of the given schema.
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Yu, J., Tang, Y., Wang, Z., Shi, L. (2007). Playfield and Ball Detection in Soccer Video. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76856-2_38
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DOI: https://doi.org/10.1007/978-3-540-76856-2_38
Publisher Name: Springer, Berlin, Heidelberg
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