Echtzeitnahe Entscheidungsunterstützung im Sicherheitsmanagement von Großveranstaltungen

Comprehensive monitoring of human movement behavior and increasing dynamics in crowds allow an early detection and prediction of critical situations that may arise at large-scale events. This work presents a command support system which uses airborne sensor data to derive situations that may need attention by security staff. The presentation of basic data shall improve the ability of deciding staff to realize the locations of incidents faster. Eventually the distribution of annotated situation pictures shall improve the staff’s ability to collaborate more efficiently.