PEOPLE TRACKING AND TRAJECTORY INTERPRETATION IN AERIAL IMAGE SEQUENCES
Florian Burkert, Florian Schmidt, Matthias Butenuth, Stefan Hinz · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · 2010
Monitoring the behavior of people in complex environments has gained much attention over the past years. Most of the current approaches rely on video cameras mounted on buildings or pylons and people are detected and tracked in these video streams. The presented approach is intended to complement this work. The monitoring of people is based on aerial image sequences derived with camera systems mounted on aircrafts, helicopters or airships. This imagery is characterized by a very large coverage providing the opportunity to analyze the distribution of people over a large field of view. The approach shows first results on automatic detection and tracking of people from image sequences. In addition, the derived trajectories of the people are automatically interpreted to reason about the behavior and to detect exceptional events.