MMCOUNT: Stationary Crowd Counting System Based on Commodity Millimeter-Wave Radar

Millimeter wave sensing promises the capability of sensing the surrounding moving people. However, it is still challenging for stationary crowds because objects with few motions (like changing sitting position) are easily treated as a cluster of noise and thus neglected. In this paper, we propose th...

Full description

Saved in:
Bibliographic Details
Published inICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 56 - 60
Main Authors Hu, Kaiyuan, Liao, Hongjie, Li, Mingxiao, Wang, Fangxin
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.04.2024
Subjects
Crowd Counting
Data mining
Millimeter wave radar
Millimeter Wave Sensing
Motion pictures
Object detection
Occupancy Estimation
Radar tracking
Sensors
Signal processing
Online AccessGet full text

Cover

More Information
Summary:Millimeter wave sensing promises the capability of sensing the surrounding moving people. However, it is still challenging for stationary crowds because objects with few motions (like changing sitting position) are easily treated as a cluster of noise and thus neglected. In this paper, we propose that people's respiration and natural fidgeting (restless behavior) carry valuable information, which could be captured by millimeter (mmWave) radar. By performing processing on the captured data including signal enhancement and object recognition, we can successfully extract the number of a crowd and the position of each individual. To verify our system, we test it in different locations like hall, classroom, and meeting room to simulate different practical scenarios including watching a movie, having a class, or attending a meeting. The evaluation results show that our proposed approach could reach a high counting accuracy of up to 95.8% even at small separation distances of 0.4m.
ISSN:2379-190X
DOI:10.1109/ICASSP48485.2024.10447408