Crowd Analysis Based on Computer Vision

When evaluating or simulating crowd egress situations, there are several parameters that should be taken into account. For instance, the initial distribution of the people and/or local densities are important to assess possible hazardous events; tracking people or detecting main flows can be very useful to identify main escape routes or bottlenecks; finally, crowd behavior understanding methods can be used to identify collective behavior (e.g., groups) or unusual/abnormal events.