视频火焰检测综述
Survey of Flame Detection Based on Video
DOI: 10.12677/CSA.2013.38059, PDF, HTML, XML,  被引量    国家科技经费支持
作者: 吴茜茵, 严云洋, 杜 静：江南大学物联网工程学院，无锡;淮阴工学院计算机工程学院，淮安；刘以安：江南大学物联网工程学院，无锡
关键词: 火焰检测；特征提取；特征融合；综述；Flame Detection; Feature Extraction; Feature Fusion; Survey
摘要: 基于传感器的传统火灾检测系统已经不能满足实际需求。随着计算机技术和数字图像处理技术的发展，视频火焰检测作为一种新型有效的早期火灾探测技术，已经受到人们的广泛关注。本文介绍了视频火焰检测流程，着重分析火焰的图像特征，包括基于单帧的静态特征和基于多帧的动态特征，并探讨了典型的特征提取算法，对多特征融合算法进行了分类比较，最后展望了视频火焰检测的发展趋势。
Abstract: The traditional fire detection system is an unsatisfactory way of detecting fire based on some sensors. As an effective type of early fire detection technology, video fire detection has received extensive attention recently with the improvement of technology of computer and digital image process. The process of video fire detection is shown here. The flame image characters are discussed such as the static characteristics in single frame and dynamic characteristics in multiple frames. Some typical methods of fire image feature extraction are presented. Then the fusion algorithm with multiple features is classified and summarized. Finally, the development of video fire detection is prospected.
文章引用：吴茜茵, 严云洋, 杜静, 刘以安. 视频火焰检测综述[J]. 计算机科学与应用, 2013, 3(8): 336-343. http://dx.doi.org/10.12677/CSA.2013.38059

参考文献

[1] Celik, T. (2010) Fast and efficient method for fire detection using image processing. ETRI Journal, 32, 881-890.
[2] Cleary, T. and Grosshandler, W. (1999) Survey of fire detection technologies and system in evaluation. National Institute of Standards and Technology, Gaithersburg.
[3] 袁宏永, 刘炳海, 陈晓军 (1998) 图像型火灾智能探测与空间定位技术. 消防科技, 2, 2-4.
[4] 李文辉, 王莹, 赵瑞霖, et al. (2012) 使用日夜两用型红外摄像机进行火焰检测. 湖南大学学报(自然科学版), 8, 73-80.
[5] Xie, Z. and Wang, Q. (2010) Large space fire detection in labo- ratory scale based on color image segmentation. Proceeding of 2010 Ninth International Symposium on Distributed Computing and Applications to Business Engineering and Science (DCA- BES), Hong Kong, 572-575.
[6] 严云洋, 高尚兵, 郭志波, et al. (2008) 基于视频图像的火灾自动检测. 计算机应用研究, 4, 1075-1078.
[7] 冷春艳 (2012) 基于红外图像处理的森林火灾识别关键技术研究. 硕士论文, 电子科技大学.
[8] Cappellini, V., Mattii, L. and Mecocci, A. (1989) An intelligent system for automatic fire detection in forests. Proceedings of the 3rd IEEE International Conference on Image Processing and Its Applications Warwick, 563-570.
[9] Foo, S.Y. (1995) A rule based machine vision system for fire detection in aircraftdry bays and engine compartments. Knowl- edge Based Systems, 9, 531-541.
[10] Healey, G., Slater, D. and Lin, T. (1993) A system for real time fire detection. Proceedings of IEEE Computer Society Confer- ence on Computer Vision and Pattern Recognition, New York, 605-606.
[11] 吴占松, 王补宣 (1989) 图像处理技术用于发光火焰温度分布测量的研究. 工程热物理学报, 4, 446-448.
[12] Yamagishi, H. and Yamaguchi, J. (1999) Fire flame detection algorithm using a color camera. Proceedings of 1999 Interna- tional Symposium on Micromechatronics and Human Science, Nagoya, 255-260.
[13] Chen, T.H., Cheng, L.K. and Chang, S. (2003) An intelligent real time fire detection method based on video. Proceedings of IEEE 37th Annual 2003 International Carnahan Conference on Security Technology, Taipei, 104-111.
[14] Celik, T., Demirel, H.and Ozkaramanli, H. (2007) Fire detection using statistical color model in video sequences. Journal of Vis- ual Communication and Image Representation, 18, 176-185.
[15] Wirth, M. and Zaremba, R. (2010) Flame region detection based on histogram backprojection. Proceeding of 7th Canadian Con- ference on Computer and Robot Vision, Canadian, 167-174.
[16] 康锋 (2010) 基于视觉特征的早期农林火灾检测方法的基础研究. 硕士论文, 浙江大学.
[17] 严云洋, 唐岩岩, 郭志波, et al. (2011) 融合色彩和轮廓特征的火焰检测. 微电子学与计算机, 10, 137-141.
[18] 张进华, 庄健, 杜海峰 (2006) 一种基于视频多特征融合的火焰识别算法. 西安交通大学学报, 7, 811-814.
[19] Chen, T.H., Wu, P.H. and Chiou, Y.C. (2004) An early fire-detec- tion method based on image processing. Proceedings of IEEE International Conference on Image Processing, Singapore City, 1707-1710.
[20] Huang, P.H., Su, J.Y. and Lu, Z.M. (2006) A fire-alarming method based on video processing. Proceeding of 2006 Interna- tional Conference on Intelligent Information Hiding and Multi- media Signal Processing, Pasadena, 359-364.
[21] 荣建忠, 姚卫, 高伟, et al. (2013) 基于多特征融合技术的火焰视频探测方法. 燃烧科学与技术, 3, 227-232.
[22] 龙铭, 胡爱闽, 江熹 (2013) 大空间火灾火焰图像分割区域的静态特征描述与提取. 机械设计与制造, 4, 211-213.
[23] 吴爱国, 李明, 陈莹 (2006) 大空间图像型火灾探测算法的研究. 计算测量与控制, 7, 869-871.
[24] 陈莹, 吴爱国 (2006) 基于图像处理的火灾检测系统软件设计. 低压电器, 1, 32-35.
[25] Wang, Z.H., Wang, H.Q., Wang, Y.N., et al. (2008) Fire detec- tion in video. World Science Technology Research and Devel- opment, 30, 161-164.
[26] 江熹 (2012) 基于数字图像处理的大空间早期火灾自动检测与识别技术研究. 硕士论文, 华东交通大学.
[27] 梁青 (2012) 基于图像处理的森林火灾监测的技术研究. 硕士论文, 华东交通大学.
[28] 吴龙标, 邓超 (1997) 火灾探测的人工神经网络方法. 人类工效学, 2, 41-43.
[29] Liu, C. and Ahuja, N. (2004) Vision based fire detection. Pro- ceedings of the International Conference on Pattern Recognition (ICPR), 134-137.
[30] 王莹, 李文辉 (2010) 基于多特征融合的高精度视频火焰检测算法. 吉林大学学报(工学版), 3, 769-775.
[31] Chen, T.H., Wu, P.H. and Chiou, Y.C. (2004) An early fire detec- tion method based on image processing. Proceedings of International Conference on Image Processing, Singapore City, 1707- 1710.
[32] 刘萍 (2012) 基于多特征融合的火焰识别方法研究. 硕士论文, 西安建筑科技大学.
[33] 唐岩岩, 严云洋, 刘以安 (2012) 应用GMM的快速火焰检测. 计算机科学, 11, 283-285.
[34] Ollero, A., Arrue, B.C. and Marinez, J.R. (1999) Techniques for reducing false alarms in infrared forest-fire automatic detection systems. Control Engineering Practice, 7, 96-99.
[35] 沈诗林, 于春雨, 袁非牛, et al. (2007) 种基于视频图像相关性的火灾火焰识别方法. 安全与环境学报, 6, 96-99.
[36] 李玲 (2012) 基于视频图像的火灾识别研究. 硕士论文, 华南理工大学.
[37] 安志伟, 袁宏永, 屈玉贵 (2000) 数据采集在火焰闪烁频率的测量研究及分析中的应用. 火灾科学, 2, 43-47.
[38] 宋文忠, 姜昌金, 胡克定 (1995) 锅炉燃烧器火焰闪烁特性试验与分析. 热力发电, 4, 45-50.
[39] 袁非牛, 廖光煊, 张永明, et al. (2006) 计算机视觉火灾探测中的特征提取. 中国科学技术大学学报, 1, 39-43.
[40] Toreyin, B.U., Dedeoglu, Y. and Gudukbay, U. (2005) Flame detection in video using hidden markov models. Proceedings of IEEE International Conference on Image Processing, Genova, 1230-1233.
[41] Toreyin, B.U., Dedeoglu, Y., Ugur, G., et al. (2006) Computer vision based method for real time fire and flame detection. Pattern Recognition Letters, 27, 49-58.
[42] Wang, L., Ye, M., Ding, J., et al. (2011) Hybrid fire detection using hidden Markov model and luminance map. Computers and Electrical Engineering, 37, 905-915.
[43] 胡国良, 江熹, 王少龙 (2012) 基于多特征融合的视频火焰检测技术研究. 机械设计与制造, 7, 213-215.
[44] 闵永林 (2010) 大空间智能消防水炮灭火系统研究. 硕士论文, 上海大学.
[45] Ran, H.C. (2009) The fire deteetion system on neural network. Fire Safety Science, 35, 34-38.
[46] 刘昕雨 (2009) 基于视频特征的火灾火焰识别算法. 硕士论文, 西安电子科技大学.
[47] Chen, J., He, Y. and Wang, J. (2010) Multi feature fusion based fast video flame detection. Building and Environment, 45, 1113- 1122.
[48] Borges, P.V.K. and Izquierdo, E. (2010) A probabilistic approach for vision-based fire detection in videos. Circuits and Systems for Video Technology, 20, 721-731.
[49] Ko, B.C., Cheong, K.H. and Nam, J.Y. (2010) Early fire detec- tion algorithm based on irregular patterns of flames and hierar- chical Bayesian Networks. Fire Safety Journal, 45, 262-270.
[50] Kolesov, I., Karasev, P. and Tannenbaum, A. (2010) Fire and smoke detection in video with optimal mass transport based op- tical flow and neural networks. Proceeding of 17th IEEE International Conference, 761-764.
[51] Jenifer, P. (2011) Effective visual fire detection in video se- quences using probabilistic approach. Proceeding of Interna- tional Conference on Emerging Trends in Electrical and Com- puter Technology (ICETECT), Madurai, 870-875.
[52] 侯杰 (2010) 基于视频图像的高大空间建筑火灾探测研究. 硕士论文, 清华大学.
[53] Yang, N., Wang, H. and Zhang, Q. (2010) Adaptive flame image detection algorithm. Proceeding of 3rd International Congress on Image and Signal Processing, 1787-1791.
[54] 秦薇薇 (2012) 基于红外视频的火灾探测算法研究. 硕士论文, 西安建筑科技大学.
[55] Habiboglu, Y.H., Gunay, O. and Cetin, A.E. (2012) Covariance matrix-based fire and flame detection method in video. Machine Vision and Applications, 23, 1103-1113.
[56] 汪锦, 于伟, 韩韬 (2008) 面向红外视频图像的火焰识别. 上海交通大学学报, 12, 1979-1982, 1987.
[57] 张雷, 陆建华, 梁新刚 (2010) 基于模糊神经网络的森林火情预测. 清华大学学报(自然科学版), 8, 1302-1306.
[58] Hou, J., Qian, J., Zhang, W., et al. (2011) Fire detection algo- rithms for video images of large space structures. Multimedia Tools and Applications, 52, 45-63.
[59] 孙宇臣, 王自朝, 葛宝漆 (2007) 视频火灾探测系统现状分析. 消防科学与技术, 4, 414-417.