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人体识别系统中通行识别技术的研究

Study on traffic recognition technology in human recognition system

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【作者】 周凡焦科杰牛国柱

【Author】 ZHOU Fan1,JIAO Ke-jie2,NIU Guo-zhu1(1.School of Mechanical Engineering,Nanjing University of Science & Technology,Nanjing 210094,China; 2.Nanjing Panda Information Industry Company Limited,Nanjing 210002,China)

【机构】 南京理工大学机械工程学院南京熊猫信息产业有限公司

【摘要】 人体识别系统是城市轨道交通自动售检票系统的关键组成部分。为了对人体识别系统中通行识别技术进行研究,采用对射式红外传感器采集通行目标的通行状态,在通道两侧分别安装传感器,在Matlab仿真的基础上将步态识别方法与人体识别规则相结合,分析闸机通道内通行目标的类型和数量,对其新型识别方法进行实验,实验结果表明该识别方法有效可靠。

【Abstract】 Human recognition system plays an important role in urban mass transit automatic fare collection system.The recognition technique of common channel in human recognition system is studied.The infrared sensors were used on the both sides of the gate common channel to acquire target traffic states.On the basis of Matlab simulation,gait recognition method and human recognition rules were connected together.The number of targets and the access types in the gates channel are tested.This results of this new method show that the new recognition method is effective and reliable.

  • 【文献出处】 现代电子技术 ,Modern Electronics Technique , 编辑部邮箱 ,2012年01期
  • 【分类号】TP391.41
  • 【被引频次】4
  • 【下载频次】265
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