关键词: 火焰识别, 改进层次聚类, 支持向量机, 数据采样

Abstract: In order to improve the fire detection rate based on video monitoring in spacious buildings, a fire detecting algorithm based on improved hierarchical cluster and Support Vector Machines（SVM） is proposed. Firstly suspected targets are detected with pixel motion accumulating method after color detection with a proper color model and the targets number is reduced with an improved hierarchical cluster method. Then the features, inter-frame correlation, area rate, centroid offset, average brightness, proportion of green and red are extracted. Finally the features are entered into the SVM to make a decision. The experimental results show that the cluster efficiency is improved, the limitation of threshold dependence is overcome, and it is suitable for image fire detection in spacious buildings.

Key words: flame detection, improved hierarchical cluster, Support Vector Machines（SVM）, data sampling