Nano-sized unmanned aerial vehicles (UAVs) have been attracting growing attention from
both academia and industry with their compact and versatile nature. With the size of merely …

Over the past several years, significant progress has been made in object tracking, but
challenges persist in tracking objects in high-resolution images captured from drones. Such …

Pedestrian tracking is an important aspect of autonomous vehicles environment perception
in a vehicle running environment. The performance of the existing pedestrian tracking …

Multiobject tracking (MOT) in video sequences has gradually become one of the most
essential fields in computer vision tasks. As the use of two separate models for feature …

Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

Unmanned Aerial Vehicle (UAV) has been widely used in military reconnaissance, smart
transportation, public security and other fields. UAV-based person tracking is attracting …

Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely
used in autonomous driving, behavior recognition, and other areas. The complex and …

In recent years, several methods and datasets have been proposed to push the performance
of pedestrian detection in crowded scenarios. In this study, three crowd-specific detectors …

The existing pedestrian tracking applications are challenging to balance real-time
performance and accuracy. We propose a detection–tracking–correction strategy based on …

In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-
resolution aerial imagery by intensive evaluation of a number of traditional and Deep …