摘要： 提出一种利用隐马尔可夫模型对普通视频中的火焰进行分析的方法，除应用运动和颜色分析对火焰进行识别外，还通过隐马尔可夫模型对火焰的闪烁特性进行分析。实验结果表明，该方法能有效区分火焰和具有火焰颜色的普通运动物体，减少了火灾监测中误报警的次数，具有一定的实际意义。

关键词: 计算机视觉, 火焰检测, 隐马尔可夫模型

Abstract: This paper proposes a method based on hidden Markov models to detect flames in video. In addition to motion and color analysis, flame flicker process is detected by using a hidden Markov model. Results show that Markov models representing the flame and flame colored ordinary moving object are effective to distinguish flame flicker from motion of flame colored moving object. False alarms are reduced when using this method, it may have a practical application.

Key words: computer vision, flame detection, hidden Markov model

中图分类号: 

• TP18