| 唐杰,周洋,杨萌,唐向宏.采用颜色混合模型和特征组合的视频烟雾检测[J].光电子激光,2017,28(7):751~758 |
| 采用颜色混合模型和特征组合的视频烟雾检测 |
| A smoke detection algorithm using color mixture model and feature combinat ion |
| 投稿时间：2016-09-13 |
| DOI： |
| 中文关键词: 烟雾检测 混合高斯背景模型 烟雾颜色混合模型 动态特征 |
| 英文关键词:smoke detection mixture Gaussian background model smoke color hybri d model dynamic characteristics |
| 基金项目:国家自然科学基金(61401132；61501152)和浙江省自然科学基金(LY17F020027)资助项目 (杭州电子科技大学 通信工程学院,浙江 杭州 310018) |
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| 中文摘要: |
| 提出了一种采用烟雾颜色混合模型和多特征组合的视频烟雾检 测算法。首先利用混合高斯背景 模型提取烟雾视频的运动区域；然后使用新的烟雾颜色混合模型从运动区域中确定出疑似烟 雾区域；最后采用烟雾的动态特征(运动速度均值 和方差,运动方向,面积增长率)组合分析对疑似烟雾区域进行烟雾识别,剔除非烟雾区域 。通过不同类型烟雾视频的 实验结果表明:对于光照正常,烟雾浓的烟雾类型,本文算法取得了96.57%平均检测成功率；对于光照弱或烟雾浓度稀薄的 烟雾类型,本文算法取得了87.67%平均检测成功率。 |
| 英文摘要: |
| A video-based smoke detection algorithm using smoke color mixture model and multi-feature combination is proposed.The algori thm first employs mixture Gaussian background model to obtain the motion region of video,and then combines it with smoke color hybrid model to extract suspected smoke regions. Finally,the combination of smoke′s dynamic features (mean velocity and varianc e of moving velocity,motion direction,area growth rate) is used to identify smoke and exclude non-smoke from the suspected smoke regions.The experimental results conducted on the different types of smoke videos show that the average detection rate of th e proposed method for thick smoke with normal illumination is 96.57%,while that for thin smoke or smoke with weak illumination is 87.67%.The algorithm outperforms other state-of-the-art algorithms and has a wide range of applications. |
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