| 基于自适应神经模糊推理系统的视频烟雾检测 |
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| 引用本文： | 王涛,刘渊,谢振平.基于自适应神经模糊推理系统的视频烟雾检测[J].计算机工程,2011,37(23):186-188,207. |
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| 作者姓名： | 王涛 刘渊 谢振平 |
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| 作者单位： | 1. 江南大学 物联网工程学院,江苏无锡,214122
2. 江南大学 数字媒体学院,江苏无锡,214122 |
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| 基金项目： | 江苏省科技支撑计划基金资助项目 |
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| 摘 要： | 提出一种基于自适应神经模糊推理系统的视频烟雾检测算法。从视频图像中提取烟雾特征，采用减法聚类确定模糊规则数，建立初始模糊系统。通过神经网络的自学习机制调整前提参数和结论参数，确定模糊推理规则。实验结果表明，与传统BP神经网络算法及支持向量机算法相比，该算法具有较优的ROC曲线特性。
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| 关 键 词： | 视频烟雾检测 自适应神经模糊推理系统 减法聚类 烟雾特征分析 |
| 收稿时间： | 2011-06-13 |
Video Smoke Detection Based on Adaptive Neuro-fuzzy Inference System |
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| WANG Tao,LIU Yuan,XIE Zhen-ping.Video Smoke Detection Based on Adaptive Neuro-fuzzy Inference System[J].Computer Engineering,2011,37(23):186-188,207. |
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| Authors: | WANG Tao LIU Yuan XIE Zhen-ping |
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| Affiliation: | b(a.School of Internet of Things Engineering;b.School of Digital Media,Jiangnan University,Wuxi 214122,China) |
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| Abstract: | This paper presents a video smoke detection algorithm based on Adaptive Neuro-fuzzy Inference System（ANFIS）.The smoke features are extracted from video sequences,and the subtractive clustering is introduced to confirm the fuzzy rule number.The premise parameters and the consequent parameters are updated by hybrid learning rule.The fuzzy inference rules are obtained.Experimental results show that compared with the traditional BP neural network algorithm and Support Vector Machine（SVM） algorithm,the new algorithm has better performance on Receiver Operating Characteristic（ROC） curve. |
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| Keywords: | video smoke detection Adaptive Neuro-fuzzy Inference System（ANFIS） subtractive clustering smoke feature analysis |
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