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Ball event recognition using HMMs for automatic tennis annotation
Ibrahim Almajai, Josef Kittler, Teo De Campos, William Christmas, Fei Yan, David Windridge and Aftab Khan
In: ICIP 2010, 26-29 Sep 2010, Hong Kong.
AbstractA key prerequisite of automatic video indexing and summarisation
is the description of events and actions. In the context
of many sports, the motion of the ball and agents plays an
essential role in describing events. However, the only existing
solution for the tennis event recognition problem in the
literature relies on a set of heuristic
rules such as proximity between ball and players or court lines
to classify ball event candidates. We present hidden Markov
models (HMMs) paradigm to automatically learn to identify
events from ball trajectories and demonstrate that its ability
to capture the dynamics of the ball movement lead to a much
higher performance. [Edit]
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