摘要
针对轨道交通闸机检票中存在的尾随逃票现象,研究了基于多红外传感器的闸机人体识别技术;该技术采用多个红外传感器采集乘客通行信息,在对闸机系统分析的基础上,设计了红外传感器的结构布局;将传感器区域分析和事件识别标志分析相结合,提取人体特征识别乘客通行事件;研制了闸机门人体识别实验系统,对4种常见的闸机通行事件进行了分析,并开展了实验研究;实验结果表明,实验系统能够有效识别闸机通行的多种事件,实时性好,具有较好的工程应用前景。
Aiming at trailing fare evasion phenomenon in fare gate system, human recognition technique based on multi--sensor was re- searched. Multi--infrared sensors were used in the technique to collect passenger traffic information. On the basis of fare gate system analy- sis, structure layout of multi--infrared sensors was designed. Area analysis and event flag anaIysis were combined to extract human charac- teristics for identifying passenger traffic incidents. Fare gate human recognition experimental system was developed. Four common gate traf- fic incidents were analyzed, Experimental study was carried out. Experimental results show that the experimental system can effectively rec- ognize multi gate traffic incidents and has good real time. The technique has a good prospect in engineering application.
出处
《计算机测量与控制》
北大核心
2014年第5期1487-1489,1522,共4页
Computer Measurement &Control
基金
南京工程学院基金(YKJ201015)
关键词
信号测量
人体识别
闸机系统
signal test
human recognition
fare gate system
