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Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challenge of this task. These include the large variability in the temporal scale and periodicity of human actions, as well as the exponential nature of all possible movement combinations. We formulate the temporal segmentation problem as an extension of standard clustering algorithms. In particular, this paper proposesdoi:10.1109/afgr.2008.4813468 dblp:conf/fgr/ZhouTH08 fatcat:fhodsqak7bewnkwatvpsw3xlpi