Visual object tracking has been utilized in numerous aerial platforms, where is facing the challenges of more extremely complex conditions. To address the inefficient long-range modeling of traditional networks with fully convolutional neural …
Temporal contexts among consecutive frames are far from been fully utilized in existing visual trackers. In this work, we present TCTrack1, a comprehensive framework to fully exploit temporal contexts for aerial tracking. The temporal contexts are …
Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field. Especially, unmanned aerial vehicle (UAV)-based remote sensing system, equipped with a …
Aerial object tracking approaches based on discriminative correlation filter (DCF) have attracted wide attention in the tracking community due to their impressive progress recently. Many studies introduce temporal regularization into the DCF-based …