Abstract
This chapter presents a multi-camera system designed to detect and track players in individual sports. This system requires an initial configuration comprised of scene background, field distances, and the correspondence between some points from each camera and those points in the field. With the resulting positions of each player generated by the system, individual players statistics are extracted allowing performance analytics for each player. This system can be used in any sport in which each player has a unique own space, not shared with the other players. Some examples of these sports are tennis, badminton or paddle tennis.
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This work has been partially supported by the Spanish Government (TEC2011-25995).
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Martín, R., Martínez, J.M. (2014). Automatic Players Detection and Tracking in Multi-camera Tennis Videos. In: Spagnolo, P., Mazzeo, P., Distante, C. (eds) Human Behavior Understanding in Networked Sensing. Springer, Cham. https://doi.org/10.1007/978-3-319-10807-0_9
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DOI: https://doi.org/10.1007/978-3-319-10807-0_9
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