Jianyin Gu

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Human action recognition is a quite popular yet challenging problem in computer vision discipline, especially in automatical human motion understanding. This paper introduces a novel approach based on the second generation Curvelet transform to get the eigenvector for representing the human action in static images. As an exceptional multi-resolution feature(More)
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