With the advantages of easy deployment and flexible usage, unmanned aerial vehicle (UAV)
has advanced the multitarget tracking (MTT) applications. The UAV-MTT system has great …

In recent years, deep reinforcement learning (DRL) has proved its great potential in multi-
agent cooperation. However, how to apply DRL to multi-target tracking (MTT) problem for …

Multi-object tracking has recently become an important area of computer vision, especially
for Advanced Driver Assistance Systems (ADAS). Despite growing attention, achieving high …

Drones equipped with cameras (UAVs) can dynamically track the target in the air from a
broader view compared with static cameras or moving sensors over the ground. However, it …

Multi-object tracking in unmanned aerial vehicle (UAV) videos is an important vision task
and can be applied in a wide range of applications. However, conventional multi-object …

Various interconnected Internet of Things (IoT) devices have emerged, led by the
intelligence of the IoT, to realize exceptional interaction with the physical world. In this …

Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental
task and can be applied in many fields. MOT consists of two critical procedures, ie, object …

In remote sensing images, small target size and diverse background cause difficulty in
locating targets accurately and quickly. To address the lack of accuracy and inefficient real …

The task of multi-object tracking via deep learning methods for UAV videos has become an
important research direction. However, with some current multiple object tracking methods …

Multiple object tracking (MOT) generally employs the paradigm of tracking-by-detection,
where object detection and object tracking are executed conventionally using separate …