Human skeleton behavior identification method, system and device based on graph convolutional network
A technology of convolutional network and human skeleton, applied in the field of computer vision and deep learning, can solve the problem of low precision
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[0063] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.
[0064] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0065] A human skeleton behavior recognition method based on graph convolution network of the present invention, comprising:
[0066] Step S10, obtaining the preset video frame in the skeleton video and performing normalization processing as the skeleton sequence to be recognized; ...
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