Smoke detection in video images using background subtraction method for early fire alarm system

This paper proposes an effective method to detect smoke in videos. The technique background subtraction is used to segment moving regions in fire video frame. The fuzzy c-means (FCM) method is used to cluster only smoke regions from these moving regions. Experimental results show that the proposed smoke detection algorithm performs well than the conventional smoke detection algorithms in terms of accuracy of smoke detection. It also provides low false alarm rate and high reliability in open and large spaces. The true positive value of all smoke frames and its percentage of overall smoke detection rate is more than 85%. The false positive value of non-smoke frames and its percentage of overall smoke detection rate is less than 10%. Hence overall smoke detection rate is increased.