Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

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Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

Directly modelling the inherent hierarchy and shared structures of human behaviours, we present an application of the hierarchical hidden Markov model (HHMM) for the problem of activity recognition. We argue that to robustly model and recognize complex human activities, it is crucial to exploit both...

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Bibliographic Details
Main Authors:	Nguyen, Nam, Phung, Dinh, Venkatesh, Svetha, Bui, Hung H.
Other Authors:	Schnid, C.
Format:	Conference Paper
Published:	IEEE Computer Society Press 2005
Online Access:	http://hdl.handle.net/20.500.11937/15305

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