Bi-Directional Passing People Counting System Based on IR-UWB Radar Sensors

被引:71
|
作者
Choi, Jeong Woo [1 ]
Quan, Xuanjun [1 ]
Cho, Sung Ho [1 ]
机构
[1] Hanyang Univ, Dept Elect Engn, Seoul 04763, South Korea
来源
IEEE INTERNET OF THINGS JOURNAL | 2018年 / 5卷 / 02期
关键词
Congestion; context awareness; crowdedness; door counting; gate counting; impulse radio ultra-wideband (IR-UWB) radar; people counting; UWB;
D O I
10.1109/JIOT.2017.2714181
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose system based on impulse radio ultra-wideband (IR-UWB) radar sensors for counting multiple people passing through a passage or a wide door. The proposed counting system utilizes two IR-UWB radar sensors equipped with antennas which have narrow beam width to form two invisible electronic layers in the path. The two electronic layers are used for sensing and direction recognition of multiple people passing by. Algorithmically, sensing and direction recognition of a person passing through a path are performed considering both information of a received signal in each radar and mutual information between two radar signals. The proposed counting system is implemented with two radar modules designed using commercial radar ICs and a Raspberry Pi 2 module. We installed the designed modules in the subway station to verify the performance. Based on the installed modules, data were acquired for one week and the counting performance was verified for various time intervals, such as 2 min, 1 h, and 1 day. Except for a few cases, we could get counting results with errors less than 10%.
引用
收藏
页码:512 / 522
页数:11
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