闸机人体步态测量与识别算法研究

Research on Human Gait Test and Recognition Algorithm in Fare Gate System

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。

Abstract:

Aiming at trailing fare evasion phenomenon in fare gate system, human recognition technique based on multi-sensor was researched. Multi-infrared sensors were used in the technique to collect passenger traffic information. On the basis of fare gate system analysis, structure layout of multi-infrared sensors was designed. Area analysis and event flag analysis were combined to extract human characteristics for identifying passenger traffic incidents. Fare gate human recognition experimental system was developed. Four common gate traffic incidents were analyzed, Experimental study was carried out. Experimental results show that the experimental system can effectively recognize multi gate traffic incidents and has good real time. The technique has a good prospect in engineering application.