Automatic Evaluation of Organized Basketball Activity using Bayesian Networks

In this article the trajectory-based evaluation of multi-player basketball activity is addressed. The organi zed basketball activity consists of a set of key elements and the ir temporal relations. The activity evaluation is performed b y analyzing individually each of them and the final reasoning about the activity is achieved using the Bayesian network. The network structure is obtained automatically from the ac tivity template which is a standard tool used by the basketball experts. The experimental results suggest that our approach can successfully evaluate the quality of the observe d activity.

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