关键词: 支持向量机, 图像型, 火灾探测, 特征提取, 分类

Abstract: Concerning the shortcomings of traditional fire detection, an image fire detection algorithm based on Support Vector Machine (SVM) was presented，and compared with the image fire detection based on neural network. The results show that the presented algorithm overcame the disadvantages of neural network such as over learning, being easily trapped in local minimum, etc., and reduced the complexity of doing a lot of experiments and statistical analysis to obtain recognition threshold. The experimental results show that the image fire detection algorithm based on SVM has higher accuracy, and it is effective to solve the recognition with small samples, multi-dimension and nonlinear property.

Key words: Support Vector Machine (SVM), image, fire detection, feature extraction, classfication