Automatic Evaluation of Organized Basketball Activity

Computer Vision Winter Workshop 2007, 2007
In this article the trajectory-based evaluation of multi-player basketball activity is addressed. The organized basketball activity consists of a set of key elements and their temporal relations. The activity evaluation is performed by 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 activity 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 observed activity.

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