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- W2539957129 abstract "An action can be represented as a sequence of salient postures. Effective modeling of the salient postures is critical for robust action recognition. This paper proposes to characterize the salient postures using a set of the spatio-temporal interesting points (STIPs). Local features are extracted at each STIP and the statistical distribution of the features for each salient posture is further modelled by a Gaussian mixture model (GMM). Experimental results have verified the effectiveness of the proposed posture model." @default.
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- W2539957129 date "2009-01-01" @default.
- W2539957129 modified "2023-09-24" @default.
- W2539957129 title "Salient Posture Modeling Based on Spatio-temporal Interesting Points" @default.
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- W2539957129 doi "https://doi.org/10.1109/wcse.2009.741" @default.
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