Human action recognition using multi-layer codebooks of key poses and atomic motions
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文摘

Human actions are modeled by a sequence of key poses and atomic motions.

Normalized relative orientations are computed as features for each limb.

Feature sequences are segmented into pose and motion feature segments dynamically.

Multi-layer codebooks which constructed with extracted key poses and atomic motions.

A pattern-matching method is proposed and integrated with traditional classifiers.

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