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A Topic Model Approach to Representing and Classifying Football Plays
Procedings of the British Machine Vision Conference 2013
We address the problem of modeling and classifying American Football offense teams' plays in video, a challenging example of group activity analysis. Automatic play classification will allow coaches to infer patterns and tendencies of opponents more efficiently, resulting in better strategy planning in a game. We define a football play as a unique combination of player trajectories. We develop a framework that uses player trajectories as inputs to MedLDA, a supervised topic model. The jointdoi:10.5244/c.27.64 dblp:conf/bmvc/VaradarajanAAGA13 fatcat:puowirsnunh5lj3wwo57upzcey