Visual Object Tracking

Unmanned aerial vehicle (UAV) based visual tracking has been confronted with numerous challenges, e.g., object motion and occlusion. These challenges generally introduce unexpected mutations of target appearance and result in tracking failure.

This work introduces Siamese network into unmanned aerial manipulator (UAM) tracking, which is a model-free method and can be applied to track arbitrary objects. Considering severe object scale variation faced in practical UAM tracking application scenarios, a scale-aware Siamese network, i.