DocumentCode
3326078
Title
Early Fire Disaster Features Research and Detection Method Design in Video Images
Author
Chi Jianning ; Wu Chengdong ; Zhang Yunzhou
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2011
fDate
16-18 May 2011
Firstpage
1
Lastpage
4
Abstract
According to the features of the changing color of fire flames, the periodically increasing of area and the irregular changing in the shape of fire when the early fire breaks, we take fire flame as a kind of special moving object and make a research of it. The color characteristics in fire video images as well as the morphological changes are discussed in this paper, a comprehensive analysis of all the criteria and the algorithm of detecting are proposed, and finally an early fire detection prototype system is designed. After testing, this system has a high accuracy with good robust and fast rapid.
Keywords
disasters; fires; flames; image motion analysis; object detection; early fire disaster; fire flames; moving object detection; video images; Accuracy; Artificial neural networks; Feature extraction; Fires; Image color analysis; Pixel; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Photonics and Optoelectronics (SOPO), 2011 Symposium on
Conference_Location
Wuhan
ISSN
2156-8464
Print_ISBN
978-1-4244-6555-2
Type
conf
DOI
10.1109/SOPO.2011.5780496
Filename
5780496
Link To Document