Abstract
Unmanned aerial vehicles (UAVs) and drones are now accessible to everyone and are widely used in civilian and military fields. In military applications, UAVs can be used in border surveillance to detect or track any moving object/target. The challenge of processing UAV images is the unpredictable background motions due to camera movement and small target sizes. In this chapter, a short literature brief will be discussed for moving object detection and long-term object tracking. Publicly available datasets in the literature are introduced. General approaches and success rates in the proposed methods are evaluated and approach to how deep learning-based solutions can be used together with classical methods are discussed. In addition to the methods in the literature for moving object detection problems, possible solution approaches for the challenges are also shared.