文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类- Based on fusion of these flame features，the support vector machine (SVM) is used for classi-

fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient

and fast for fire detection，and it could detect fire real-time under a variety of circumstances．