Behavior Recognition Algorithm Based on the Fusion of SE-R3D and LSTM Network

Behavior Recognition Algorithm Based on the Fusion of SE-R3D and LSTM Network

In view of the fact that the existing behavior recognition algorithms cannot fully extract abstract behavior features, this paper proposes a SE-R3D-LSTM behavior recognition algorithm based on 3D residual convolutional neural network (R3D), which integrates Squeeze-and-excitation network (SENet)and...

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Bibliographic Details
Main Authors: Jin Wu, Yi Yuan An, Qian Wen Shi, Wei Dai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Human behavior recognition
3D residual convolutional neural network
SENet network
long short-term memory network
Online Access:https://ieeexplore.ieee.org/document/9568952/

Internet

https://ieeexplore.ieee.org/document/9568952/

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