Research on Multiple Feature Recognition Algorithm for Motion Actions Based on Machine Vision
To solve the problems of weak generalization ability and poor mobility of interest points in traditional feature design methods,the research first proposes a Convolutional neural network based on multi feature learning,then introduces cross modal train-ing to improve the optical flow graph,and finally uses the motion excitation and time aggregation module to optimize,and finally ob-tains the multi feature recognition algorithm of dance movement based on machine vision.The research results show that the fusion ac-curacy of the algorithms proposed in the FolkDance and AIST++dance datasets is 98.1％and 74.3％,respectively,and precise rec-ognition of dance movements can be achieved in just 1.73 seconds.In summary,the proposed method can greatly reduce the cost of labor and time,achieve accurate recognition of dance movements in complex dance motion videos,and have stronger applicability in practical applications.
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维普
