Big events are an enormous challenge to the responsible security forces. A smooth course of the respective event and early anticipation of critical situations, and competent and thoughtful action require integrated security solutions by means of which the staff can carry out analyses efficiently or react promptly to possible incidents. Mainly large-area events require high-quality monitoring systems that constantly provide the responsible persons with up-to-date overview photos and information. Aerial images are ideally suited for monitoring crowd movements without allowing or requiring the identification of individuals. KIT and the Technische Universitaet Muenchen analyze crowd motion patterns through aerial-supported data recording. The project is being supported and funded by DLR, Germany's national research center for aeronautics and space. The research team uses research aircraft equipped with DLR camera systems. Three high-resolution digital air cameras allow taking pictures of the event venue at a repeat rate of up to three pictures per second. Aerial-supported systems are capable of monitoring motion patterns over large extended areas. The high-resolution camera, which is coupled with a real-time navigation system, allows instantaneous spatial allocation of the data as well as the automatic detection of persons and analysis of movements. Legally, the use of aerial images is particularly unobjectionable: The image geometry inherently prevents identification. To analyze a motion pattern, the persons detected in an image are searched and retrieved automatically in the next sequence through so-called matching methods. In this way, incidents in large crowds can be analyzed and predicted quasi real-time. Also security forces are being informed reliably at any time about possible hazard points and obstacles. For rapid future access to the respective data, the IPF team plans to enhance data processing such that it can be carried out directly in the aircraft.