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 …

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

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 …

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 …

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 …

Modern multiple object tracking (MOT) systems usually follow the tracking-by-detection
paradigm. It has 1) a detection model for target localization and 2) an appearance …

Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding
autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms …

Abstract Deep learning based Multiple Object Tracking (MOT) currently relies on off-the-shelf
detectors for tracking-by-detection. This results in deep models that are detector biased and …

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

Due to better video quality and higher frame rate, the performance of multiple object tracking
issues has been greatly improved in recent years. However, in real application scenarios …