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

At present, the detection-based pedestrian multi-target tracking algorithm is widely used in
artificial intelligence, unmanned driving cars, virtual reality and other fields, and has …

Object tracking is a crucial research area within the field of intelligent transportation,
providing a vital foundation for anomalous behavior analysis and traffic statistics. Although …

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

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 …

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 …

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 …

Pedestrians are often vulnerable users of urban roads and ensuring their safety is a
pressing challenge in the filed of intelligent transportation. Multiple pedestrian tracking is …

Pedestrian multiobject tracking is the major research branch in the field of computer vision.
In complicated scenarios with frequent scale changes and occlusion, the existing multiobject …

Multi-pedestrian tracking (MPT) on the road is closely related to a reduction in the possibility
of pedestrian-vehicle collisions when using advanced driver assistance systems. Therefore …