Indoor crowd monitoring refers to the use of wireless sensing technologies, particularly Wi-Fi channel state information (CSI), to passively detect, count, and track groups of people within enclosed spaces without requiring individuals to carry devices or actively participate. It matters to the field because it enables scalable, privacy-preserving situational awareness for applications such as occupancy management, public safety, and smart building automation, while also serving as a challenging benchmark for evaluating the generalizability of Wi-Fi sensing systems across diverse real-world conditions. Key variants include dynamic crowd counting, which targets moving individuals, and stationary crowd counting, which addresses seated or near-motionless occupants whose subtle physiological movements like fidgeting must be exploited, with environment-dependent performance remaining a central open challenge across both variants.
Source Papers
- A Novel Device-Free Counting Method Based on Channel Status Information ↗ — A Novel Device-Free Counting Method Based on Channel Status
- A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects ↗ — A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techni
- A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target ↗ — A roadmap for the future of crowd safety research and practi
- A survey on CSI-based Wi-Fi sensing datasets and models with a focus on reproducibility ↗ — A survey on CSI-based Wi-Fi sensing datasets and models with
- Data collection methods for studying pedestrian behaviour: A systematic review ↗ — Data collection methods for studying pedestrian behaviour: A
- Estimating indoor crowd density and movement behavior using WiFi sensing ↗ — Estimating indoor crowd density and movement behavior using
- 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
- Investigation of Environment Dependence in Wi-Fi CSI-Based Crowd Counting Systems ↗ — Investigation of Environment Dependence in Wi-Fi CSI-Based C
- MMCOUNT: Stationary Crowd Counting System Based on Commodity Millimeter-Wave Radar ↗ — MMCOUNT: Stationary Crowd Counting System Based on Commodity
- Privacy-preserving WiFi fingerprint-based people counting for crowd management ↗ — Privacy-preserving WiFi fingerprint-based people counting fo
- Recent trends in crowd analysis: A review ↗ — Recent trends in crowd analysis: A review
- WiFi Sensing with Channel State Information ↗ — WiFi Sensing with Channel State Information
- WiFi as Infrastructure: Valuation Impact of CSI Sensing on Smart Buildings and REIT Portfolios ↗ — WiFi as Infrastructure: Valuation Impact of CSI Sensing on S