Towards the requirement of real-time smoke detection in DSP surveillance system

a novel fast video smoke detection algorithm is proposed.Compared with current video smoke detection algorithms

new algorithm does not demand storing historic frame images of video sequence

and does not require learning background image of monitoring scene.According to extracted fluttering characteristics of smoke for independent image block

Bayesian decision method is used to determine whether smoke is existent.Derived from above design

new algorithm only requires very slow computational complexity.Nevertheless

benefited from a group of effective video smoke characteristics presented in this paper

new algorithm also earns high detection performance.Accordingly

new proposed video smoke detection algorithm is very valuable for real-time smoke detector embedded in a standard video surveillance system.