Fire-Flame Detection Using Fuzzy Logic 


Vol. 16,  No. 6, pp. 463-470, Dec.  2009
10.3745/KIPSTB.2009.16.6.463


PDF
  Abstract

In this paper, we propose the advanced fire-flame detection algorithm using camera image for better performance than previous sensors-based systems which is limited on small area. Also, previous works using camera image were depend on a lot of heuristic thresholds or required an additional computation time. To solve these problems, we use statistical values and divide image into blocks to reduce the processing time. First, from the captured image, candidate flame regions are detected by a background model and fire colored models of the fire-flame. After the probability models are formed using the change of luminance, wavelet transform and the change of motion on time axis, they are used for membership function of fuzzy logic. Finally, the result function is made by the defuzzification, and the probability value of fire-flame is estimated. The proposed system has shown better performance when it compared to Toreyin's method which perform well among existing algorithms.

  Statistics
  Cite this article

[IEEE Style]

H. J. Hwang and B. C. Ko, "Fire-Flame Detection Using Fuzzy Logic," The KIPS Transactions:PartB , vol. 16, no. 6, pp. 463-470, 2009. DOI: 10.3745/KIPSTB.2009.16.6.463.

[ACM Style]

Hyun Jae Hwang and Byoung Chul Ko. 2009. Fire-Flame Detection Using Fuzzy Logic. The KIPS Transactions:PartB , 16, 6, (2009), 463-470. DOI: 10.3745/KIPSTB.2009.16.6.463.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals