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Proceedings Paper

Fire flame detection using color segmentation and space-time analysis
Author(s): Miti Ruchanurucks; Praphin Saengngoen; Theeraphat Sajjawiso
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Paper Abstract

This paper presents a fire flame detection using CCTV cameras based on image processing. The scheme relies on color segmentation and space-time analysis. The segmentation is performed to extract fire-like-color regions in an image. Many methods are benchmarked against each other to find the best for practical CCTV camera. After that, the space-time analysis is used to recognized fire behavior. A space-time window is generated from contour of the threshold image. Feature extraction is done in Fourier domain of the window. Neural network is used for behavior recognition. The system will be shown to be practical and robust.

Paper Details

Date Published: 30 September 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851J (30 September 2011); doi: 10.1117/12.913421
Show Author Affiliations
Miti Ruchanurucks, Kasetsart Univ. (Thailand)
Praphin Saengngoen, Kasetsart Univ. (Thailand)
Theeraphat Sajjawiso, Chulalongkorn Univ. (Thailand)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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