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Behavior recognition algorithm based on the improved R3D and LSTM network fusion

Wu Jin An Yiyuan Dai Wei Zhao Bo

高技术通讯（英文版）2021，Vol.27Issue(4)：381-387,7.

高技术通讯（英文版）2021，Vol.27Issue(4)：381-387,7.DOI:10.3772/j.issn.1006-6748.2021.04.006

Behavior recognition algorithm based on the improved R3D and LSTM network fusion

Wu Jin ¹An Yiyuan ¹Dai Wei ¹Zhao Bo¹

作者信息

1. School of Electronic and Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,P.R.China
折叠

摘要

关键词

behavior recognition/three-dimensional residual convolutional neural network(R3D)/long short-term memory (LSTM)/dropout/batch normalization (BN)

Key words

behavior recognition/three-dimensional residual convolutional neural network(R3D)/long short-term memory (LSTM)/dropout/batch normalization (BN)

引用本文复制引用

Wu Jin,An Yiyuan,Dai Wei,Zhao Bo..Behavior recognition algorithm based on the improved R3D and LSTM network fusion[J].高技术通讯（英文版）,2021,27(4):381-387,7.

基金项目

Supported by the Shaanxi Province Key Research and Development Project (No.2021GY-280),Shaanxi Province Natural Science Basic Re-search Program (No.2021JM-459),and the National Natural Science Foundation of China (No.61772417). （No.2021GY-280）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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