Multi-object tracking is a significant domain in Computer vision applications, which involves
giving unique identities to different objects, and maintaining the association between them …

Target detection and tracking are crucial in autonomous driving and intelligent
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …

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 …

In actual traffic scenarios, the environment is complex and constantly changing, with many
vehicles that have substantial similarities, posing significant challenges to vehicle tracking …

The performance of pedestrian multiple object tracking (MOT), which is based on the
tracking-by-detection framework, is exceedingly susceptible to the quality of detection …

Most current online multi-object tracking (MOT) methods include two steps: object detection
and data association, where the data association step relies on both object feature …

Multi-object tracking is a very popular research area in computer vision, and detection-
based tracking is one of the commonly used methods. In this paper, we analyze tracking of …

Multi-vehicle tracking is one of the most crucial components of an intelligent transportation
system (ITS). However, when it comes to busy traffic flow, tracking targets robustly becomes …

Over the years, The detection and tracking of Vulnerable Road Users (VRUs) have become
one of the most critical features of self-driving car components. Because of its processing …

Multiple Object Tracking (MOT) is an important computer vision task which has gained
increasing attention due to its academic and commercial potential. Although many …