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- W2370086275 abstract "This paper presented a recognition algorithm of human action based on multi-features fusion.First,through the background subtraction and shadow elimination,obtained human motion silhouettes and contours.It described human silhouette features by R transform.Then fused these features with human contour features which were extracted using wavelet descriptor by K-L transform to get a new feature which had higher discriminating power.At last,through integrating fuzzy clustering and decision tree,constructed a multilevel binary tree classifier.It evaluated the method on the Weizmann action dataset.The experimental results show that the approach has efficient recognition performance." @default.
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- W2370086275 title "Human action recognition based on multi-features fusion" @default.
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