Human body behavior recognition method and system based on graph convolution network
A technology of convolutional network and recognition method, applied in neural learning method, character and pattern recognition, biological neural network model, etc., can solve the problems of lack of modeling of long-term time relationship of topological sequence and insufficient learning ability
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[0056] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0057] The embodiment of the present invention provides a human behavior recognition method based on spatio-temporal graph convolution and graph convolution long short-term memory network, such as figure 1 As shown, including the following steps:
[0058] S1. Extract human skeleton information from images containing human behaviors, obtain a sequence of human body joint point position information, use each joint point as a node, and use the bones between the joint poi...
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