DocumentCode
1708206
Title
Study of Fire Recognition System Based on Dmpster-Shafer Evidence Theory
Author
Liao Jianjun ; Niu Xiaotai ; Guo Qiuping ; Li XiaoNing
Author_Institution
Zhengzhou Inst. Of Aeronaut. Ind. Manage., Zhengzhou, China
fYear
2010
Firstpage
945
Lastpage
948
Abstract
In order to improve the recognition rate of the early fire, this paper analyzed the relationship between the image resolution and fire recognition rate from the application point of view. On this basis, we have adopted the Dmpster-Shafer evidence theory and carried on the recognition experiment to the different resolution fire image under different environmental conditions. The simulation experimental results have indicated that this method can obtain the basic consistent recognition effect regardless of the resolution of fire image is high or low, and can simultaneously give dual attention to the recognition rate and the recognition efficiency.
Keywords
disasters; fires; image recognition; image resolution; Dmpster-Shafer evidence theory; fire recognition system; image resolution; Artificial neural networks; Feature extraction; Fires; Image recognition; Image resolution; Monitoring; Uncertainty; Dmpster-Shafer Evidence Theory; Fire Recognition; Image Resolution; Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4244-8626-7
Electronic_ISBN
978-0-7695-4258-4
Type
conf
DOI
10.1109/MINES.2010.200
Filename
5671198
Link To Document