CCTV cameras are fixed surveillance cameras deployed in public and infrastructure environments to continuously capture video footage of pedestrian and crowd movement. In crowd modeling and transportation research, they serve as a primary data collection mechanism, providing dense, real-world observations of human trajectories, flow patterns, and behaviors that are used to train, calibrate, and validate data-driven and agent-based models. Key variants include fixed monocular cameras, pan-tilt-zoom cameras, and stereo camera setups, which differ in their field of view, spatial coverage, and capacity to support accurate depth estimation and crowd density measurement.
Source Papers
- 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
- Data Assimilation for Agent-Based Models ↗ — Data Assimilation for Agent-Based Models
- Data-driven Crowd Modeling Techniques: A Survey ↗ — Data-driven Crowd Modeling Techniques: A Survey
- Physics of Human Crowds ↗ — Physics of Human Crowds
- Recent trends in crowd analysis: A review ↗ — Recent trends in crowd analysis: A review