Abstract：Based on the flutter characteristic of smoke, a novel video smoke detection algorithm is proposed. Firstly, the motion region is detected from video frames. Then four flutter features of the motion region are extracted over a sliding time window, including the flutter direction and three types of flutter intensities. Finally, the neuro-fuzzy inference system is used to detect smoke, in which fuzzy rules and membership functions are trained according to the valid sample set. Experimental results show that the new algorithm has excellent performance on Receiver Operating Characteristic (ROC) curve which is very important for real application.
2011, Vol. 33 
