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

摘要： 随着网络摄像机的普及以及图像处理技术的不断发展，基于视频的火灾监控系统得到越来越多的关注。目前基于视频的火灾监控系统的常用方法是通过对火灾发生后产生的火焰进行检测，其缺点在于报警时火灾已经发生。提出的火灾检测系统首先通过运动检测和烟雾刚出现时的运动特征找出疑似烟雾区域，在此基础上在疑似烟雾区域内进行烟雾和火焰联合检测。其中烟雾检测采用烟雾颜色特征以及纹理特征相结合方式，火焰检测采用火焰RGB、HSI两种颜色特征相结合方式，以此提高检测的准确率。实验结果表明，系统可以在火灾蔓延前提供报警并准确检测出火灾着火点的位置，验证了所提方法的有效性。

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