Human Action Recognition from 3D Videos Using Multi-Projection-Based Approach.

Presents our hybrid fusion method to construct a unified framework for action recognition from 3D videos. This framework shows all the benefits from action representation to classification in different scenarios of viewpoints. We also present a sliding method to
adapt multiple representations for viewpoint variations. This method does not use any
knowledge related to target viewpoints.

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