According to the unique characteristics of pedestrian gait,which is not affected by objective factors,OpenPose is used to extract the skeleton information of pedestrians.The gait recognition model is constructed by OpenPose and the spatiotempo-ral graph convolutional neural network,which can effectively avoid the system falling into the local optimal solution.The classifica-tion model can combine the local and global information of the skeleton,build a rich network model,and improve the generalization ability of the recognition system.The experimental results show that the ideal gait recognition effect is achieved.