Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 10
3107-3111

Improved deep convolutional neural network for human action recognition

He Bingqiana
Wei Weib
Zhang Bina
Gao Lianxina
Song Yanbeia
a. School of Computer Science, b. School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0361

Abstract

Aiming at the problem that the existing human motion recognition method needed to input a fixed length video segment and underutilized the spatio-temporal information, this paper proposed a deep neural network model based on the combination of space-time pyramid and attention mechanism. This improved architecture combined 3D-CNN including spatio-temporal pyramids with LSTM model with spatio-temporal attention mechanism, and realized multi-scale processing of video segments and full utilization of complex spatio-temporal information of actions. For the architecture, the inputs of spatial and temporal domain were RGB image and the optical flow, the input of the fusion domain was the fusion feature of the motion and appearance features of the pyramid pooling layer. Finally, it used the decision fusion strategy to obtain the final motion recognition result. Experiments were performed on the UCF101 and HMDB51 datasets, it achieved 94.2% and 70.5% recognition accuracy, respectively. The experimental results show that the improved network model achieves high recognition accuracy in video based human motion recognition tasks.

Foundation Support

四川省教育厅重点科研资助项目(17ZA0064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0361
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3107-3111
Serial Number: 1001-3695(2019)10-050-3107-05

Publish History

[2019-10-05] Printed Article

Cite This Article

何冰倩, 魏维, 张斌, 等. 基于改进的深度神经网络的人体动作识别模型 [J]. 计算机应用研究, 2019, 36 (10): 3107-3111. (He Bingqian, Wei Wei, Zhang Bin, et al. Improved deep convolutional neural network for human action recognition [J]. Application Research of Computers, 2019, 36 (10): 3107-3111. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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