期刊文献+

煤矿安全异常检测的方法研究

Study on method of rapid detection of anomalies in mine monitor system
在线阅读 下载PDF
导出
摘要 从煤矿工业电视监控系统的现状出发,提出了一种煤矿安全异常检测算法,采用有条件背景替换的思路进行检测,能够避免光照、噪声等因素的影响,满足煤矿实时监控的需要。同时,提出了一种评价视频异常检测算法效率的方法,并构造了检测标准视频序列。 An algorithm of colliery security anomaly-detection is presented from the present condition in coal industry video monitoring system. The thinking of substituent with conditional background is employed to test. It can avoid the influences of illumunation and noise etc, and meet the real-time monitoring of mine. And an evaluation methodology evaluating anomaly-detection efficiency is given. Detection result shows this algorithm is suitable for real system.
出处 《传感器与微系统》 CSCD 北大核心 2008年第4期66-67,73,共3页 Transducer and Microsystem Technologies
基金 辽宁省科技攻关计划资助项目(2006220019200422900)
关键词 煤矿 异常检测 评价方法 视觉监视 mine anomalies detection evaluation methodology visual monitor
  • 相关文献

参考文献5

  • 1Michael Harville, Gail Gordon, John Weodfill. Foreground segmentation using adaptive mixture models in color and depth[ C ]// Proceedings of the IEEE Workshop on Detection of Events in Video, Vancouver, Canada,2001:256 -267.
  • 2Cohen I,Medioni G. Detecting and tracking moving objects for video surveillance[ C ]//IEEE Computer Society Conference Computer Vision and Pattern Recognition, 1999:319 --325.
  • 3Fu Hua,Sun Shaoguang,XU Zhenliang. Study on optimization control method based on artificial neural network[J]. Journal of Coal Science & Engineering,2005,11 (2) :82-85.
  • 4刘晓冬,苏光大,周全,田超.一种可视化智能户外监控系统[J].中国图象图形学报(A辑),2000,5(12):1024-1029. 被引量:33
  • 5诸葛建伟,王大为,陈昱,叶志远,邹维.基于D-S证据理论的网络异常检测方法[J].软件学报,2006,17(3):463-471. 被引量:56

二级参考文献8

共引文献87

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部