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The traditional methods of action recognition are not specific for theoperator, thus results are easy to be disturbed when other actions are operatedin videos. The network based on mixed convolutional resnet and RPN is proposedin this paper. The rMC is tested in the data set of UCF-101 to compare with themethod of R3D. The result shows that its correct rate reaches 71.07%.Meanwhile, the action recognition network is tested in our gesture and bodyposture data sets for specific target. The simulation achieves a goodperformance in which the running speed reaches 200 FPS. Finally, our model isimproved by introducing the regression block and performs better, which showsthe great potential of this model.

An Action Recognition network for specific target based on rMC and RPN