Abstract: This paper presents a real-time color context aware algorithm for flame detection.Two new flame feature vectors are defined： one is the flame detection context based dynamic feature row and the other is the optimal flame feature area vector.To compare with the conventional method，the proposed method only scans the optimal flame feature area in each frame rather than scans every single pixel for each frame，and then uses the burning degree of the optimal flame feature area as a measurement to estimate the burning degree of the whole fire flames.Experiments show that the proposed algorithm can improve the efficiency for detection and estimate of the boiler flame.

Key words: color context flame detection, dynamic flame goal, optimal flame feature area vector

摘要： 提出一种新颖的色彩上下文感知的火焰目标实时检测算法。算法定义了两种新的火焰特征向量：火检上下文动态特征切入列，火焰特征最优区域。相对于传统火焰检测算法对火焰图像序列中每帧的所有像素逐点扫描，算法仅对每帧中的关键位置——火焰特征最优区域进行扫描，根据火焰图像序列中一系列关键位置的检测情况预测火焰目标的整体燃烧状况。实验表明，该算法对于炉膛火焰的实时检测和估算效率高。

关键词: 色彩上下文, 动态火焰目标, 特征最优区域