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\subsection{Trajectories}  Only The current works on soccer match analysis managed to give semantic data and most of the time they used extra data bring in several match or championship. In this project we managed to find patterns in the paths of the players clustering players trajectories given only the video of a match filmed with a multi-camera system. The problem of players with multiple camera even if their paths may intersect over long period of time have been achieved in \cite{Ben_Shitrit_2011}.  Yet only  discrete trajectories are available in the form of array which can be of different sizes with different time discretization or with different speed.