Abstract
We present a method of tracking multiple players in a soccer match using video taken from a single fixed camera with pan, tilt and zoom. We extract a single mosaic of the playing field and robustly derive its homography to a playing field model, based on color information, line extraction, and a Hausdorff distance measure. Players are identified by color and shape, and tracked in the image mosaic space using a Kalman filter. The frequent occlusions of multiple players are resolved using a novel representation acted on by a rule-based method, which recognizes differences between removable and intrinsic ambiguities. We test the methods with synthetic and real data.
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Barceló, L., Binefa, X., Kender, J.R. (2005). Robust Methods and Representations for Soccer Player Tracking and Collision Resolution. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_27
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DOI: https://doi.org/10.1007/11526346_27
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