Flame Recognition Based on Video Image

Guo Qing Qiu; Shuai Liu; Dong Mei Cao; Jun Jie Bao

doi:10.4028/www.scientific.net/AMM.687-691.3604

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Flame Recognition Based on Video Image

Flame Recognition Based on Video Image

Abstract:

The flame recognition system based on video image is applied to the fire flame detection, and it can be very good to avoid the shortage of the traditional fire flame detection system. Three frame difference algorithm is adopted to extract the motion features of the flame. And Lab color space is applied in analyzing the flame color. By analyzing the circular degree of the flame and the interference sources, the change rate of the flame area and the angle feature of the fire flame, it can be determined whether there is a fire in the image. The experimental results shows: this algorithm can not only effectively improve the accuracy and real-time performance of the flame detection and identification, but also eliminate the interference of other substances and reduce the misjudgment.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3604-3607

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3604

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Online since:

November 2014

Authors:

Guo Qing Qiu*, Shuai Liu, Dong Mei Cao, Jun Jie Bao

Keywords:

Circularity, Flame Detection, Flame Sharp, Lab Color Space, Motion Feature

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* - Corresponding Author

References

[1] Yamagishi H, Yamaguchi J. A contour fluctuation data processing method for fire flame detection using a color camera [C]/IEEE 26th Annual Conference on IECON of Industrial Electronics Society, Nagoya, Japan, 2000(2): 824-829.

DOI: 10.1109/iecon.2000.972229

Google Scholar

[2] Xiong Xiaoyun, Wang Bing. Study on Forest Fires Recognition and Moving Target Tracking In Video Surveillance System[C]/International Conference on Electronic & Mechanical Engineering and Information Technology, 2011: 2853-2856.

DOI: 10.1109/emeit.2011.6023697

Google Scholar

[3] Wu Jiansheng, Gao Yunling, Zhang Bin. A Video-based Flame Detection Method[J]/Computer Applications and Software, 2014, 31(1): 173-176.

Google Scholar

[4] JIN Peng-fei. Improved algorithm for Sobel edge detection of image[J]/Journal of Applied Optics, 2008, 29(4): 625-628.

Google Scholar

[5] DING Lei, GONG Ningsheng. Moving Objects Detection Based on Improved Three Frame Difference[J]/VIDEO APPLICATION & PROJECT, 2013, 37(1): 151-153.

Google Scholar