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In this paper, we present a temporal-state shape context (TSSC) method that exploits space-time shape variations for human action recognition. In our method, the silhouettes of objects in a video clip are organized into three temporal states. These states are defined by fuzzy time intervals, which can lessen the degradation of recognition performance caused by time warping effects. The TSSC features...
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