Flame Detection Based on Video

Yan Yan Tang; Yun Yang Yan; Yian Liu; Shang Bing Gao

doi:10.4028/www.scientific.net/AMR.562-564.1916

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Flame Detection Based on Video

Flame Detection Based on Video

Abstract:

Flame Detection based on video is an important method for fire prevention. To save flame detection time, the moving objects were segmented from images in a video by using GMM(Gaussian Mixture Model) firstly. Then moving objects were determined as flame candidate or not by their color feature and area changes. The experiments show that the method could detect flame in video effectively with a low false positive rate.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1916-1919

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1916

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Online since:

August 2012

Authors:

Yan Yan Tang, Yun Yang Yan, Yian Liu, Shang Bing Gao

Keywords:

Color Model, Feature Extraction, Flame Detection, Gaussian Mixture Model

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