Outdoor Video Smoke Detection Algorithm Based on Multi-Feature Fusion
Proposes new multiple feature fusion based smoke detection algorithm,which deals with situations like low detection rate and wrong detection in outdoor videos.Uses code book in YUV for background modeling to extract smoke area.Detects the color,shape,and center position of the suspicious smoke area.Carries out the fusion on the detect outcome using Bayesian classifiers.Takes the fusion result as a symbol to judge whether the smoke actually exist.Experiments show that the proposed algorithm is robust and accurate in smoke detection in video images.
NETL
NSTL
万方数据
维普
