Stationary crowd counting refers to the problem of estimating the number of people present in a space when those individuals are largely motionless or seated, relying on subtle involuntary movements such as natural body fidgeting rather than gross locomotion to produce detectable changes in wireless signals. This problem is particularly significant for WiFi CSI-based sensing because conventional motion-based approaches fail when occupants are not actively moving, yet accurate occupancy estimation in seated environments such as classrooms, waiting rooms, or auditoriums has direct implications for energy management, resource allocation, and public safety. A key distinction in the field is between binary or coarse occupancy detection and fine-grained count estimation, with stationary crowd counting representing the more challenging variant due to the weak and overlapping signal perturbations generated by multiple sedentary individuals.
Source Papers
- CSI-based Passenger Counting on Public Transport Vehicles with Multiple Transceivers ↗ — CSI-based Passenger Counting on Public Transport Vehicles wi
- Fast and Robust Stationary Crowd Counting With Commodity WiFi ↗ — Fast and Robust Stationary Crowd Counting With Commodity WiF
- Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensing in Stationary Crowd Counting ↗ — Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensin
- MMCOUNT: Stationary Crowd Counting System Based on Commodity Millimeter-Wave Radar ↗ — MMCOUNT: Stationary Crowd Counting System Based on Commodity