Construction and Application of Indoor Video Surveillance System Based on Human Activity Recognition

With the growth of building monitoring network, increasing human resource and funds have been invested into building monitoring system. Computer vision technology has been widely used in image recognition recently, and this technology has also been gradually applied to action recognition. There are...

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Bibliographic Details
Published in:MATEC web of conferences 2018-01, Vol.232, p.4024
Main Authors: Wang, Yuchen, Wang, Mantao, Tan, Zhouyu, Zhang, Jie, Li, Zhiyong, Mu, Jiong, Zhou, Zhihao, Luo, Lixing
Format: Article
Language:English
Subjects:
Artificial neural networks
Computer vision
Construction
Convolution
Human activity recognition
Human resources
Monitoring
Monitoring systems
Moving object recognition
Neural networks
Technology transfer
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Summary:With the growth of building monitoring network, increasing human resource and funds have been invested into building monitoring system. Computer vision technology has been widely used in image recognition recently, and this technology has also been gradually applied to action recognition. There are still many disadvantages of traditional monitoring system. In this paper, a human activity recognition system which based on the convolution neural network is proposed. Using the 3D convolution neural network and the transfer learning technology, the human activity recognition engine is constructed. The Spring MVC framework is used to build the server end, and the system page is designed in HBuilder. The system not only enhances efficiency and functionality of building monitoring system, but also improves the level of building safety.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201823204024