Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure
civil and military safety and security. In this thesis a video processing chain is presented
for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm
is applied to detect motion that is independent of the camera motion. Novel robust and fast
object detection and segmentation approaches improve the baseline TBD and outperform current
state-of-the-art methods.
