Analysis on Smoke Detection Techniques

Abstract

This paper demonstrates the overview on recognition of smoke using different techniques to provide optimum results. Smoke itself is a challenging object to be detected because of variation in its density, lightning conditions, and multiple backgrounds. After consideration of all the factors, different techniques are applied to accurately detect smoke region in a given frame. Some of its properties which are generally used for its detection are convexity, energy, color, and motion. Smoke detection is significantly utilized in the various applications to prevent any harm. This article presents a relative study between different papers to show their performance rate.