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Title of the item:

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

Title :
Construction and Application of Indoor Video Surveillance System Based on Human Activity Recognition
Authors :
Wang Yuchen
Wang Mantao
Tan Zhouyu
Zhang Jie
Li Zhiyong
Mu Jiong
Zhou Zhihao
Luo Lixing
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Subject Terms :
Engineering (General). Civil engineering (General)
TA1-2040
Source :
MATEC Web of Conferences, Vol 232, p 04024 (2018)
Publisher :
EDP Sciences, 2018.
Publication Year :
2018
Collection :
LCC:Engineering (General). Civil engineering (General)
Document Type :
article
File Description :
electronic resource
Language :
English
French
ISSN :
2261-236X
Relation :
https://doaj.org/toc/2261-236X
DOI :
10.1051/matecconf/201823204024
Access URL :
https://doaj.org/article/940e287f775946029a476a58a38e50fe
Accession Number :
edsdoj.940e287f775946029a476a58a38e50fe
Academic Journal
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.

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