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We propose a novel successive convex matching method for human action detection in cluttered video. Human actions are represented as sequences of poses, and specific actions are detected by matching pose sequences. Since we represent actions as the evolution of poses and shapes, the proposed method can detect actions in videos that involve fast camera motions. Template sequence to video registration...
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