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This paper presents a content-based approach for understanding handball videos. Tracked players are characterized by their 2D trajectories in the court plane. The trajectories and their interactions are used to model visual semantics, i.e., the observed activity phases. To this end, hierarchical parallel semi-Markov models (HPaSMMs) are computed in order to take into account the temporal causalities of object motions. Players motions are characterized using velocity informations while theirdoi:10.1145/1646396.1646447 dblp:conf/civr/HervieuBC09 fatcat:b6c4qco7fferfbs34bkmgpngpi