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

Numerous object-tracking and multiple-person-tracking algorithms have been developed in
the field of computer vision, but few trackers can properly address the issue of when a …

Aiming at the problems of frequent identity switches (IDs) and trajectory interruption of multi-
pedestrian tracking algorithms in dense scenes, this paper proposes a multi-pedestrian …

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 …

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 …

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

Pedestrian tracking is a challenging task in the area of visual object tracking research and it
is a vital component of various vision-based applications such as surveillance systems …

Aiming at the serious occlusion and slow tracking speed in pedestrian target tracking and
recognition in complex scenes, a target tracking method based on improved YOLO v5 …

This paper presents a dynamic representation-based tracker (DRT) to handle occlusions in
the long-term pedestrian tracking of a single target. In our DRT, an adaptive representation …

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 …