摘要
铁路客运站进/出站场景人流量大、环境复杂,使得现有尾随检测方法误报率较高。为此,设计了铁路旅客进出站尾随检测系统,利用结构光3D测距技术、身份识别技术和行人检测技术,准确获取旅客间的相对距离。与现有尾随检测系统相比,所设计的系统可有效地检测旅客进出站场景下的尾随行为,显著提高了尾随情况的检出率。降低了旅客携带大件行李时的尾随误报率。
The high pedestrian flow and complex environment in the entering/exiting scenarios of railway passenger stations make existing tail detection methods have a high false alarm rate.For this reason,this paper designed a tracking detection system for railway passenger entering and exiting station.The paper used structured light 3D ranging technology,identity recognition technology and pedestrian detection technology to accurately obtain the relative distance between passengers.Compared with existing tailgate detection systems,the designed system can effectively detect the tailgate behavior of passenger entering/exiting of station scenarios,significantly improving the detection rate of tailgate situations and reducing the tailgate false alarm rate when passengers carry large luggage.
作者
戴琳琳
随玉腾
景辉
李阳
DAI Linlin;SUI Yuteng;JING Hui;LI Yang(Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Jingwei Information Technologies Co.Ltd.,Beijing 100081,China)
出处
《铁路计算机应用》
2023年第5期1-5,共5页
Railway Computer Application
基金
中国铁路北京局集团有限公司科技研究开发计划课题(2021AY03)。
关键词
尾随检测
结构光
图像处理
人脸识别
测距技术
trailing detection
structured light
image processing
face recognition
ranging technologies
