Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …

Object tracking in remote sensing videos is a challenging task in computer vision. Recent
advances in deep learning have sparked significant interest in tracking algorithms based on …

Recent advanced trackers, composed of discriminative classification and dedicated
bounding box estimation, have achieved remarkable advancements in performance of …

Aerial tracking has received growing attention due to its broad practical applications.
However, single-view aerial trackers are still limited by challenges such as severe …

Recently, Siamese trackers based on region proposal networks (RPN) have gained a lot of
popularity. However, the design of RPN requires manual tuning of parameters such as …

State-of-the-art (SOTA) visual object tracking methods have significantly enhanced the
autonomy of unmanned aerial vehicles (UAVs). However, in low-light conditions, the …

In computer vision, Siamese network-based visual object tracking algorithms employ a
strategy of detecting the target in the vicinity of the previous tracking result, effectively …

基于无人机平台的多目标跟踪在智慧城市, 农业生产, 灾害预警与搜救等多个领域有广泛的应用
前景. 与普通视角下的多目标跟踪相对成熟不同, 无人机视角下的多目标跟踪面临一系列尚未 …

Recently, unmanned aerial vehicle (UAV) object tracking tasks have significantly improved
with the emergence of deep learning. However, owing to the object feature pollution caused …

Recently, Transformer networks have been used for feature extraction and calculation of
similarity in object tracking. This new structure is called one stream structure, and has …