摘要
In order to effectively solve the problems of low accuracy and large amount of calculation of current human behavior recognition,a behavior recognition algorithm based on squeeze-and-excitation network(SENet) combined with 3 D Inception network(I3 D) and gated recurrent unit(GRU) network is proposed.The algorithm first expands the Inception module to three-dimensional,and builds a network based on the three-dimensional module,and expands SENet to three-dimensional,making it an attention mechanism that can pay attention to the three-dimensional channel.Then SENet is introduced into the 13 D network,named SE-I3 D,and SENet is introduced into the CRU network,named SE-GRU.And,SE-13 D and SE-GRU are merged,named SE-13 D-GRU.Finally,the network uses Softmax to classify the results in the UCF-101 dataset.The experimental results show that the SE-I3 D-GRU network achieves a recognition rate of 93.2% on the UCF-101 dataset.
作者
Wu Jin
Yang Xue
Xi Meng
Wan Xianghong
吴进;Yang Xue;Xi Meng;Wan Xianghong(School of Electronic and Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,P.R.China)
基金
Supported by the Shaanxi Province Key Research and Development Project(No.2021 GY-280)
the Natural Science Foundation of Shaanxi Province(No.2021JM-459)
the National Natural Science Foundation of China(No.61772417,61634004,61602377).
