View and Style-Independent Action Manifolds for Human Activity Recognition

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Why is it important?

This paper introduces a data driven manifold representation of (camera) view-independent actions, which is applied to human activity recognition. Not only are action descriptors automatically learned, but they are intuitive, view-independent and compact (each action is modelled within a single three dimensional space).