一种基于计算机视觉的地铁站台异物检测算法

第26卷第1期 轨道交通信息技术

Vol.26 No.1 Urban Rail Transit Information Technology

文章编号 1005-8451 2017 01-0067-03

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一种基于计算机视觉的地铁站台异物检测算法

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谭飞刚 ，刘 建

(1. 深圳信息职业技术学院，深圳 518172 ；2. 中国人民解放军 95339部队，南宁 532500 )

摘 要：地铁已成为大型城市的主要交通工具，如何保障乘客的安全成为地铁运营的热点问题。文

章在现有的车门与屏蔽门之间人工检测技术的基础上提出一种基于计算机视觉的空间异物检测算法。该

算法通过对车尾处灯带的完整性进行检测，判断车门与屏蔽门间是否存在异物，进而辅助司机进行开车

前的安全检查，保障列车的运行安全。实地采集视频数据进行实验分析，结果表明，文章所提方法可以

准确检测出空隙中异物。

关键词：地铁；屏蔽门；异物检测；计算机视觉；灯带检测

中图分类号：U231.4 ∶T39 文献标识码：A

Foreign object detection algorithm for subway platform based on computer vision

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TAN Feigang , LIU Jian

( 1. Shenzhen Institute of Information Technology, Shenzhen 518172, China;

2. 95339 Forces, The Chinese People's Liberation Army, Nanning 532500, China )

Abstraction: Subway has become the main means of transport in large cities, and how to protect the safety of

passengers has become a hot issue in subway operations. Based on manual detection between the door and platform

screen doors (PSD), this article proposed a foreign object detection algorithm based on computer vision technology.

The algorithm was used to detect the integrity of vehicle tail lamp belt, judge whether there was foreign objects

between the door and the PSD, and then assist the driver to carry out safety inspection before driving, ensure the safe

operation. Video data were collected on the spot for experimental analysis, and the results showed that the proposed

method could accurately detect the foreign objects in the gap.

Key