I3D-Shufflenet Based Human Action Recognition

I3D-Shufflenet Based Human Action Recognition

In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight model shufflenet. The 5 × 5 convolution kernel...

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Bibliographic Details
Main Authors: Guocheng Liu, Caixia Zhang, Qingyang Xu, Ruoshi Cheng, Yong Song, Xianfeng Yuan, Jie Sun
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Algorithms
Subjects:
action recognition
3D convolution
I3D neural network
shufflenet
Online Access:https://www.mdpi.com/1999-4893/13/11/301

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https://www.mdpi.com/1999-4893/13/11/301

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