Automated measurement of crowd density and motion using image processing
Some image processing techniques applicable to the measurement of density and motion in crowded scenes have been presented. These give results comparable to human observers with potential for real-time implementation. A useful characteristic of these techniques is their independence from the apparent shape of individual pedestrians. Detailed studies of site usage and real-time monitoring then become feasible.