Bayesian Non-Parametric Inference for Manifold Based MoCap Representation

We propose a novel approach to human action recognition, with motion capture data (MoCap), based on grouping sub-body parts. By representing configurations of actions as manifolds, joint positions are mapped on a subspace via principal geodesic analysis... (read more)

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