Multiple-object tracking is a fundamental computer vision task which is gaining increasing
attention due to its academic and commercial potential. Multiple-object detection …

Over the years, object tracking and detection has emerged as one of the most important
aspects of UAV applications such as surveillance, reconnaissance, etc. In our paper, we …

Multi-object tracking (MOT) is a significant and widespread research field in image
processing and computer vision. The goal of the MOT task consists in predicting the …

Multi-object tracking (MOT) becomes an attractive topic due to its wide range of usability in
video surveillance and traffic monitoring. Recent improvements on MOT has focused on …

Robust and high-performance visual multi-object tracking is a big challenge in computer
vision, especially in a drone scenario. In this paper, an online Multi-Object Tracking (MOT) …

Multiple object tracking (MOT) is an important technology in the field of computer vision,
which is widely used in automatic driving, intelligent monitoring, behavior recognition and …

Multiple object tracking (MOT) in urban traffic aims to produce the trajectories of the different
road users that move across the field of view with different directions and speeds and that …

Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …

Deep learning has been proved effective in multiple object tracking, which confronts the
difficulties of frequent occlusions, confusing appearance, in‐and‐out objects, and lack of …

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