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In this paper we introduce an effective method to construct a global spatio-temporal representation for action recognition. This representation is inspired by the fact that human actions can be treated as 3D shapes induced by the silhouettes in the space-time volume. We estimate the silhouettes which contain detailed shape information of the action, and present an efficient sampling method to extract...
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