| Title |
An Indoor People Counting and Tracking System using mmWave sensor and sub-sensors |
| ID_Doc |
42016 |
| Authors |
Li, SL; Hishiyama, R |
| Title |
An Indoor People Counting and Tracking System using mmWave sensor and sub-sensors |
| Year |
2023 |
| Published |
Ifac Papersonline, 56, 2 |
| DOI |
10.1016/j.ifacol.2023.10.577 |
| Abstract |
The automatic detection and recognition system has many applications in implementing the smart city. Device-based and optical methods perform well in detecting and recognizing people, but several issues remain, such as device limitations, environmental limitations, and privacy concerns. To address these issues, we propose a real-time people counting and tracking system mainly based on a millimeter wave radar (mmWave) as an alternative to optical solutions in restaurants and retail. With the aid of sub-sensors, such as another mmWave radar or camera, this system also may feed the need for static people detection and security. It visualizes customer information, including trajectories and the number of people, helping the restaurant to prevent crowds during the pandemic of COVID-19 and analyzing customer visiting patterns for efficient management and marketing. The mmWave single-chip solution achieves an 83.5 % overall counting accuracy for walking people with a median position error of 0.17 m. The mmWave radar with sub-sensor cameras system approaches an overall detection accuracy of 93.1 %. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
| Author Keywords |
Smart City; People Counting and Tracking System; mmWave Sensor; Optical Sensor; Crowd; Management. |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001122557300134 |
| WoS Category |
Automation & Control Systems |
| Research Area |
Automation & Control Systems |
| PDF |
https://doi.org/10.1016/j.ifacol.2023.10.577
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