期刊文献+

视频烟雾火灾探测技术研究趋势 被引量:22

Development of the video smoke detection technology research
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摘要 介绍了视频火灾探测技术的系统构成,分析了烟雾图像特征,并从像素级特征提取和区域级特征提取两方面介绍了近几年来国内外视频烟雾探测算法研究的情况。此外,设计并开展了多种火源发烟实验及灯光干扰实验,在此基础上建立了典型烟雾和干扰源视频库,为视频烟雾探测的烟雾图像特征的选择和特征参数训练提供参考数据。 The system component of video fire detection was de- scribed, and the smoke image feature was analyzed. The re- search development of the video smoke detection algorithms inrecent years was presented in points of pixel level feature ex traction and regional level feature extraction. Besides, fire smoke and lights disturbance video recording experiments were designed and carried out. And the representative fire smoke and disturbance characteristic video database was established, whicb can provide reference for smoke image feature choice and feahlrc factors training of video smoke detection.
出处 《消防科学与技术》 CAS 北大核心 2012年第11期1185-1188,共4页 Fire Science and Technology
基金 公安部应用创新计划项目(2010YYCXSYXF140)
关键词 火灾探测 视频烟雾探测 特征提取 干扰源 fire detection video smoke deteclion feature extraction disturbance
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参考文献9

  • 1Chen Thouho, Yin Yenhui, Huang Shifeng,et al. The smoke de tection for early fire alarming system base on video processing[C]. In: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing(IIH-MSP' 06), Pasadena. California, USA,2006.
  • 2Guillemant P, Vicente J. Real time identification of smoke images by clustering motions on a fractal curve with a temporal embedding method[J]. Optical Engrg,2001,40(4) :554-563.
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