Advanced Search
Volume 33 Issue 5
Jun.  2011
Turn off MathJax
Article Contents
Wang Tao, Liu Yuan, Xie Zhen-Ping. Flutter Analysis Based Video Smoke Detection[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1024-1029. doi: 10.3724/SP.J.1146.2010.00912
Citation: Wang Tao, Liu Yuan, Xie Zhen-Ping. Flutter Analysis Based Video Smoke Detection[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1024-1029. doi: 10.3724/SP.J.1146.2010.00912

Flutter Analysis Based Video Smoke Detection

doi: 10.3724/SP.J.1146.2010.00912
  • Received Date: 2010-08-27
  • Rev Recd Date: 2010-12-07
  • Publish Date: 2011-05-19
  • Based on the flutter characteristic of smoke, a novel video smoke detection algorithm is proposed. Firstly, the motion region is detected from video frames. Then four flutter features of the motion region are extracted over a sliding time window, including the flutter direction and three types of flutter intensities. Finally, the neuro-fuzzy inference system is used to detect smoke, in which fuzzy rules and membership functions are trained according to the valid sample set. Experimental results show that the new algorithm has excellent performance on Receiver Operating Characteristic (ROC) curve which is very important for real application.
  • loading
  • 袁非牛, 张永明, 刘士兴, 等. 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.Yuan Fei-niu, Zhang Yong-ming, and Liu Shi-xing, et al.Video smoke detection based on accumulation and main motion orientation[J]. Journal of Image and Graphics, 2008, 13(4): 808-813.[2] Yuan Fei-niu. A fast accumulative motion orientation model based on integral image for video smoke detection[J]. Pattern Recognition Letters, 2008, 29(7): 925-932.[3] 练秋生, 李党. 融合多种特征的烟雾图像检测算法[J]. 光学技术, 2009, 35(4): 523-534.Lian Qiu-sheng and Li Dang. A smoke detection algorithm combined multiple properties[J]. Optical Technique, 2009, 35(4): 523-534.[4] Ugur Toreyin, Yigithan Dedeoglu, and Ugur Gudukbay, et al.. Computer vision based method for real-time fire and flame detection[J]. Pattern Recognition Letters, 2006, 27(1): 49-58.[5] 杨猛, 赵春晖, 潘泉, 等. 基于小波分析的烟雾多特征融合和空间精度补偿森林火情检测算法[J]. 中国图象图形学报, 2009, 14(4): 694-700.Yang Meng, Zhao Chun-hui, and Pan Quan, et al.Forest-fire detection algorithm based on multiple features fusion by wavelet analysis and spatial accuracy compensation[J]. Journal of Image and Graphics, 2009, 14(4): 694-700.[6] Gonzalez R, Aquino A, and Romero R, et al.. Wavelet-based smoke detection in outdoor video sequences[C]. The 53rd IEEE International Midwest Symposium on Circuits and Systems, Seattle, USA, 1-4 August, 2010: 383-387.[7] Kim Dong-keun and Wang Yuan-fang. Smoke detection in video[C]. World Congress on Computer Science and Information Engineering, Los Angeles, USA, March 31-April 2, 2009, 5: 759-763.[8] Chen Thou-ho (Chao-ho), Yin Yen-hui, and Huang Shi-feng, et al.The smoke detection for early fire-alarming system base on video processing[C]. IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Pasadena, California, USA, December 18-20, 2006: 427-430.[9] Yang Jing, Chen Feng, and Zhang Wei-dong. Visual-based smoke detection using support vector machine[C]. Fourth International Conference on Natural Computation, Jinan, China, August 25-27, 2008, 4: 301-305.[10] Wei Zheng, Wang Xin-gang, and An Wen-chuan. Target- tracking based early fire smoke detection in video[C]. International Conference on Image and Graphics, Xi'an, China, September 21-24, 2009: 172-176.[11] 王冰, 职秦川, 张仲选, 等. 灰度图像质心快速算法[J]. 计算机辅助设计与图形学学报, 2004, 16(10): 1360-1365.Wang Bing, Zhi Qin-chuan, and Zhang Zhong-xuan, et al.Computation of center of mass for gray level image based on differential moments factor[J]. Journal of Computer-Aided Design Computer Graphics, 2004, 16(10): 1360-1365.[12] Takagi T and Sugeno M. Fuzzy identification of systems and its applications to modeling and control[J]. IEEE Transactions on Systems, Man, Cysbernetics, 1985, 15(1): 116-132.[13] 邹洪侠, 秦锋, 程泽凯, 等. 二类分类器的ROC曲线生成算法[J]. 计算机技术与发展, 2009, 19(6): 109-112.Zou Hong-xia, Qin Feng, and Cheng Ze-kai, et al.Algorithm for generating ROC curve of two-classifier[J]. Computer Technology and Development, 2009, 19(6): 109-112.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3485) PDF downloads(2329) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return