Temporal Human Action Segmentation via Dynamic Clustering

15 Mar 2018Yan ZhangHe SunSiyu TangHeiko Neumann

We present an effective dynamic clustering algorithm for the task of temporal human action segmentation, which has comprehensive applications such as robotics, motion analysis, and patient monitoring. Our proposed algorithm is unsupervised, fast, generic to process various types of features, and applicable in both the online and offline settings... (read more)

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