Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

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) …

In-sensor processing has the potential to reduce the energy consumption and hardware
complexity of motion detection and recognition. However, the state-of-the-art all-in-one array …

Most previous progress in object tracking is realized in daytime scenes with favorable
illumination. State-of-the-arts can hardly carry on their superiority at night so far, thereby …

The perception of drones, also known as Unmanned Aerial Vehicles (UAVs), particularly in
infrared videos, is crucial for effective anti-UAV tasks. However, existing datasets for UAV …

Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-
land mobility and have received growing attention recently. By analyzing the existing …

Domain adaptation (DA)-based training has demonstrated significant promise for obtaining
real-time nighttime unmanned aerial vehicle (UAV) trackers. However, the state-of-the-art …

Existing nighttime unmanned aerial vehicle (UAV) trackers follow an" Enhance-then-Track"
architecture-first using a light enhancer to brighten the nighttime video, then employing a …

Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

In this article, we propose a temporal context and environment-aware correlation filter (CF)
for unmanned aerial vehicle (UAV) object tracking. First, we exploit environmental residuals …