关键词: 疑似烟雾区域检测, 　烟雾颜色特征, 　烟雾纹理特征, 　火焰颜色特征

Abstract: With the popularization of network cameras and the continuous development of image processing technology, visual⁃based fire monitoring systems have received more and more attention. The current method of visual⁃based fire monitoring system is to detect the flame generated after a fire. The disadvantage is that the fire has already occurred during the alarm. The proposed fire detection system firstly finds out the suspected smoke area through the motion detection and the motion characteristics when the smoke just appears, and on this basis, the smoke and flame detection are carried out in the suspected smoke area. The smoke detection combines the smoke color characteristics and texture features. Flame detection uses the combination of flame two color features to improve detection accuracy. The experimental results show that the system can provide an alarm before the fire spreads and accurately detect the location of the fire ignition point, so the effectiveness of the proposed method is verified.

Key words: Suspected smoke area detection, Smoke color characteristics, Smoke texture features, Flame color characteristics