Multi-object pedestrian tracking plays a crucial role in autonomous driving systems, enabling
accurate perception of the surrounding environment. In this paper, we propose a …

Object tracking is divided into single-object tracking (SOT) and multi-object tracking (MOT).
MOT aims to maintain the identities of multiple objects across a series of continuous video …

Multi-object tracking is a vital component in various robotics and computer vision
applications. However, existing multi-object tracking techniques trade off computation …

Most multi-object tracking methods have achieved good results in tracking multiple
pedestrians with Kalman filter, but their tracking performance in crowded scenes is still poor …

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 …

Multiple pedestrian tracking in the first-person perspective is a challenging problem,
obstacles of which are mainly caused by camera moving, frequent occlusions, and collision …

Multi-object Tracking is an important issue that has been widely investigated in computer
vision. However, in practical applications, moving targets are often occluded due to complex …

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 …

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 …

Multi-pedestrian trackers perform well when targets are clearly visible making the
association task quite easy. However, when heavy occlusions are present, a mechanism to …