A Study on the Fire Detection Algorithm Using Surveillance Camera Systems 


Vol. 43,  No. 6, pp. 921-929, Jun.  2018
10.7840/kics.2018.43.6.921


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  Abstract

In this paper, we propose a real-time fire detection algorithm for using surveillance camera system. Candidate regions of fire flames are recognized by temporal analysis of the flickering energy and color models of image pixels in frames. We also develop a robust fire flame classifier using a cascade model that joins many weak classifiers into one robust and precise classifier capable of distinguishing true fire and non-fire regions. Experimental results show that the proposed algorithm is absolutely sited for real-time fire detection with high precision.

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  Cite this article

[IEEE Style]

N. M. Dung, B. Choi, S. Ro, "A Study on the Fire Detection Algorithm Using Surveillance Camera Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 6, pp. 921-929, 2018. DOI: 10.7840/kics.2018.43.6.921.

[ACM Style]

Nguyen Manh Dung, Bokgil Choi, and Soonghwan Ro. 2018. A Study on the Fire Detection Algorithm Using Surveillance Camera Systems. The Journal of Korean Institute of Communications and Information Sciences, 43, 6, (2018), 921-929. DOI: 10.7840/kics.2018.43.6.921.

[KICS Style]

Nguyen Manh Dung, Bokgil Choi, Soonghwan Ro, "A Study on the Fire Detection Algorithm Using Surveillance Camera Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 6, pp. 921-929, 6. 2018. (https://doi.org/10.7840/kics.2018.43.6.921)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880