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一种基于码本背景建模和多特征融合的火灾烟雾检测算法

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摘要 该文提出一种基于码本模型和多特征融合的火灾烟雾检测算法。主要步骤是:首先,利用码本模型提取出视频中运动的前景像素;然后,结合暗通道先验知识对前景像素进行过滤,消除部分干扰像素;最后,统计疑似烟雾区域的颜色直方图、纹理直方图和边缘方向直方图特征,利用多特征融合的方式加以分类识别。多个视频场景测试结果表明,该算法具有良好的烟雾检测能力和抗干扰能力,可以基本满足实时性的要求,具有一定的实际推广价值。
出处 《海峡科学》 2016年第7期7-10,23,共5页 Straits Science
基金 华侨大学研究生科研创新能力培育计划资助项目阶段性成果之一
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参考文献14

  • 1罗胜,Jiang Yuzheng.视频检测烟雾的研究现状[J].中国图象图形学报,2013,18(10):1225-1236. 被引量:26
  • 2Toreyin B U,Dedeoglu Y,Cetin A E.Wavelet based real-time smoke detection in video[C]//European Signal Processing Conference,2005:759-763.
  • 3Gubbi J,Marusic S,Palaniswami M.Smoke detection in video using wavelets and support vector machines[J].Fire Safety Journal,2009,44(8):1110-1115.
  • 4Fujiwara N,Terada K.Extraction of a smoke region using fractal coding[C]//IEEE International Symposium on Communications and Information Technology,2004:808-814.
  • 5袁非牛,张永明,刘士兴,于春雨,沈诗林.基于累积量和主运动方向的视频烟雾检测方法[J].中国图象图形学报,2008,13(4):808-813. 被引量:50
  • 6Ko B,Park J,Nam J-Y.Spatiotemporal bag-of-features for early wildfire smoke detection[J].Image and Vision Computing,2013,31(10):786-795.
  • 7Luo S,Yan C,Wu K,et al.Smoke detection based on condensed image[J].Fire Safety Journal,2015,75:23-35.
  • 8Yuan F,Fang Z,Wu S,et al.Real-time image smoke detection using staircase searching-based dual threshold Ada Boost and dynamic analysis[J].Iet Image Processing,2015,9(10):849-856.
  • 9Kim K,Chalidabhongse T H,Harwood D,et al.Background modeling and subtraction by codebook construction[C]//International Conference on Image Processing,2004:3061-3064.
  • 10He K,Sun J,Tang X.Single image haze removal using dark channel prior[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2011,33(12):2341-2353.

二级参考文献106

  • 1张才.2010年全国火灾情况分析[J].安全,2011(2):46-49. 被引量:12
  • 2袁非牛,廖光煊,张永明,刘勇,于春雨,王进军,刘炳海.计算机视觉火灾探测中的特征提取[J].中国科学技术大学学报,2006,36(1):39-43. 被引量:51
  • 3Yamagishi H, Yamaguchi J. Fire flame detection algorithm using a color camera[A]. In: Proceedings of 1999 International Symposium on Micromechatronics and Human Science[ C ], Nagoya,Japan, 1999 : 255 - 260.
  • 4Yamagishi H, Yamaguchi J. A contour fluctuation data processing method for fire flame detection using a color camera [ A ]. In: Proceedings of IEEE 26th Annual Conference on IECON of the Industrial Electronics Society [ C ], Nagoya, Japan, 2000:824 - 829.
  • 5Noda S,Ueda K. Fire detection in tunnels using an image processing method[ A]. In: Proceedings of Vehicle Navigation and Information Systems Conference[ C ] , Yokohama,Japan, 1994:57 - 62.
  • 6Phillips Ⅲ W, Shah M,Da Vitoria Lobo N. Flame recognition in video [ A]. In: Proceedings of Fifth IEEE Workshop of Applications of Computer Vision[ C ] , California, USA ,2000:224 - 229.
  • 7Yuan Fei-niu,Liao Guang-xuan, Fan Wei-Cheng, et al. Vision based fire detection using mixture gaussian model [ A ]. In : Proceedings of the 8th IAFSS 2005 [ C ] , Beijing, China,2005 : 1575 - 1583.
  • 8Chen Thou-ho, Kao Cheng-liang, Chang Sju-ma. An intelligent realo time fire-detection method based on video processing [ A ]. In: Proceedings of IEEE 37th Annual 2003 International Carnahan Conference on Security Technology [ C ], Taipei, Taiwan, 2003 : 104 - 111.
  • 9Healey G, Slater D, Lin T,et al. A system for real-time fire detection [A]. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition [ C ] , New York, USA, 1993:605 - 606.
  • 10Aird B, Brown A. Detection and alarming of the early appearance of fire using CCTV cameras [ A ]. In: Proceedings of Nuclear Engineering International Fire & Safety Conference [ C/CD ], London, UK, 1997.

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