Online Segmentation and Clustering From Continuous Observation of Whole Body Motions

Abstract

This paper describes a novel approach for incremental learning of human motion pattern primitives through online observation of human motion. The observed time series data stream is first stochastically segmented into potential motion primitive segments, based on the assumption that data belonging to the same motion primitive will have the same underlying… (More)
DOI: 10.1109/TRO.2009.2026508

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