DocumentCode
2992775
Title
Nighttime Video Smoke Detection Based on Active Infrared Video Image
Author
YunChang, Liu ; Chunyu, Yu ; Yongming, Zhang
Author_Institution
State Key Lab. of Fire Sci., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2010
fDate
25-27 June 2010
Firstpage
1359
Lastpage
1362
Abstract
Compared with traditional methods, video smoke detection has many advantages, such as fast response, noncontact and so forth. For the sake of detecting smoke in the nighttime with 0 lux around, the paper presents a smoke recognition method based on active infrared CCD video image. Experimental results show that it can well recognize smoke to reach the aim of smoke-detection in the nighttime, by extracting the feature that smoke reveals while the plume of smoke upwards, analyzing feature values, studying smoke recognition methods and comparing with the interferences.
Keywords
CCD image sensors; image recognition; infrared imaging; smoke detectors; video signal processing; active infrared CCD video image; nighttime video smoke detection; smoke plume; smoke recognition method; Cameras; Feature extraction; Fires; Image recognition; Interference; Noise measurement; Pixel; MCR; active infrared camera; feature analysis; nighttime video smoke detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.337
Filename
5630509
Link To Document