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基于智能视频分析的铁路入侵检测技术研究
引用本文:董宏辉,葛大伟,秦勇,贾利民.基于智能视频分析的铁路入侵检测技术研究[J].中国铁道科学,2010,31(2).
作者姓名:董宏辉  葛大伟  秦勇  贾利民
作者单位:北京交通大学轨道交通控制与安全国家重点实验窜,北京,100044
基金项目:国家自然科学基金资助项目,国家"八六三"计划项目,铁道部科技研究开发计划项目,北京市科技计划重点项目 
摘    要:针对视频监控系统人工监视容易产生疏漏的问题,研究在铁路场景下基于智能视频监控图像序列处理和分析的识别物体入侵行为检测技术,给出铁路入侵物体检测、定位与跟踪的适用算法,实现基于轨迹点行为模型的入侵行为分析与理解。设计和开发了基于OpenCV的铁路入侵检测实验平台,在此平台上实现背景建模、运动检测与跟踪等项功能,初步实现了对入侵行为的识别、分析以及对危险行为的报警。

关 键 词:视频分析  智能临控  入侵榆测  运动检测  行为分析  铁路安全

Research on Railway Invasion Detection Technology Based on Intelligent Video Analysis
DONG Honghui,GE Dawei,QIN Yong,JIA Limin.Research on Railway Invasion Detection Technology Based on Intelligent Video Analysis[J].China Railway Science,2010,31(2).
Authors:DONG Honghui  GE Dawei  QIN Yong  JIA Limin
Institution:DONG Honghui,GE Dawei,QIN Yong,JIA Limin (State Key Laboratory of Rail Traffic Control , Safety,Beijing Jiaotong University,Beijing 100044,China)
Abstract:Focusing on the problem easily leading to the oversights in the manual video surveillance system, this paper studies the invasion detection technology in the railway scene based on the image sequence processing and analysis, which gives the algorithms of the invasion object detecting, locating and tracking, and the approaches for behavior analysis and interpretation with the point trajectory behavior model. With the OpenCV tools, an experiment platform for the railway invasion detection is designed and deve...
Keywords:Video analysis  Intelligent surveillance  Invasion detection  Motion detection  Behavior analysis  Railway safety
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