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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

第10卷    第6期    总第56期    2013年12月

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文章编号:1672-7029( 2013) 06-0116-05
铁路入侵运动目标实时检测技术
李家才,陈治亚,王梦格

(中南大学交通运输工程学院,湖南长沙410075)

摘 要: 针对铁路场景下入侵异物的特点,采用智能视频技术,对监控视频图像序列中入侵运动目标检测方法进行研究,提出基于参考点的“相对背景差分法”、基于目标特征的跟踪算法和基于透视规律的目标分类方法,实现对多目标场景运动目标的实时检测识别。典型场景实验结果表明: 上述算法实现了铁路入侵运动目标的高效检测,与基础背景差分法相比,误检率和漏检率分别减小了24.56% 和54.17%; 与基于区域的传统目标跟踪方法相比,误匹配率和漏匹配率分别减小了64. 78%和22.58%,且算法具有较强的实时性和鲁棒性。

 

关键字: 铁路入侵; 智能视频技术; 运动目标检测

Moving target real-time detection of railway intrusion
LI Jiacai,CHEN Zhiya,WANG Mengge

School of Traffic and Transportation Engineering,Central South University,Changsha 410075,China

Abstract:According to the characteristics of the intruding objects in railway scene,detection method for the moving target in the video image sequence was studied based on intelligent video technology.To realize real-time detecting and recognizing of moving targets in multi-object scene,a relative background difference method based on reference points,a tracking algorithm based on features and a classification method based on the laws of perspective were proposed.The results of typical scenes show that the above-mentioned methods can attain high efficiency detection of railway intrusion.The average missed detection rate and the false detection rate are decreased by 24.56% and 54.17% respectively compared with that of the traditional background difference method.The average error-matching rate and miss-matching rate are decreased by 64.78% and 22.58% respectively in comparison with that of the traditional region matching algorithm.The proposed method is significantly efficient and robust.

 

Key words: railway intrusion; intelligent video technology; moving target detection

ISSN 1672-7029
CN 43-1423/U

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