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- W1824853894 abstract "This paper proposes a method that can perform human motion pattern recognition using principal component analysis (PCA) and a neural network. The moving target is detected from a set of video image sequences, and the silhouette is extracted. The two-dimensional signal of the contour is converted into a one-dimensional signal through measuring the distance of pixels between centroid and boundaries of the silhouette. The feature of human motion is extracted by PCA, and then a neural network is employed to classify the motion pattern into three categories: walking, running, and other motions. Experimental results have shown that this method is capable of recognizing the motion pattern mentioned above effectively." @default.
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- W1824853894 date "2005-08-16" @default.
- W1824853894 modified "2023-09-25" @default.
- W1824853894 title "Human motion recognition based on neural network" @default.
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- W1824853894 doi "https://doi.org/10.1109/icccas.2005.1495271" @default.
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