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- W2579067088 abstract "In this paper, we propose a posture selection method based on two-layer Affinity propagation (AP) for human action recognition using Hidden markov models (HMMs). A two-layer AP is used as the clustering algorithm instead of K-means in order to avoid the problem of random initialization. After two-layer AP, each cluster center of the skeleton features represents the pose of this activity. Each frame sequence of an action can be labeled by a sequence of these poses, meanwhile, the initial parameters of HMM can be calculated from these sequences. The effectiveness of the proposed method is implemented through MSR Action3D and UTKinect databases." @default.
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- W2579067088 date "2016-12-01" @default.
- W2579067088 modified "2023-10-16" @default.
- W2579067088 title "Posture Selection Based on Two-Layer AP with Application to Human Action Recognition Using HMM" @default.
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- W2579067088 doi "https://doi.org/10.1109/ism.2016.0079" @default.
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