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Behavior recognition based on the fusion of 3D-BN-VGG and LSTM network

Wu Jin Min Yu Shi Qianwen Zhang Weihua Zhao Bo

高技术通讯（英文版）2020，Vol.26Issue(4)：372-382,11.

高技术通讯（英文版）2020，Vol.26Issue(4)：372-382,11.DOI:10.3772/j.issn.1006-6748.2020.04.004

Behavior recognition based on the fusion of 3D-BN-VGG and LSTM network

Wu Jin ¹Min Yu ¹Shi Qianwen ¹Zhang Weihua 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/deep learning/3 dimensional batch normalization visual ge-ometry group (3D-BN-VGG)/long short-term memory (LSTM) network

Key words

behavior recognition/deep learning/3 dimensional batch normalization visual ge-ometry group (3D-BN-VGG)/long short-term memory (LSTM) network

引用本文复制引用

Wu Jin,Min Yu,Shi Qianwen,Zhang Weihua,Zhao Bo..Behavior recognition based on the fusion of 3D-BN-VGG and LSTM network[J].高技术通讯（英文版）,2020,26(4):372-382,11.

基金项目

Supported by the National Natural Science Foundation of China(No.61772417,61634004,61602377),Key R&D Program Projects in Shaanxi Province(No.2017GY-060)and Shaanxi Natural Science Basic Research Project(No.2018JM4018). （No.61772417,61634004,61602377）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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