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 :
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