Public security monitoring is a hot issue that the government and citizens pay close attention
to. Multiobject tracking plays an important role in solving many problems for public security …

In order to improve the tracking failure caused by small-target pedestrians and partially
blocked pedestrians in dense crowds in complex environments, a pedestrian target …

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

This paper proposes an improvement to the multi-object tracking system framework based
on the image inputs. By analyzing the role and performance of each block in the original …

In order to solve the problem that pedestrian tracking accuracy is not high and identity
exchange is frequent in complex road environments, this paper proposes an improved …

The existing pedestrian target recognition algorithms often suffer from insufficient
classification decision, which affects the accuracy of tracking. This paper proposes an …

Due to the problem of low tracking accuracy and weak tracking stability of current multi-
object pedestrian tracking algorithms in complex scenes for videos, a Detection-based …

Real-time multi-object tracking (MOT) is a complex task involving detecting and tracking
multiple objects. After the objects are detected, they are assigned markers, and their …

The typical Internet of Things application, unattended driving systems, will need the ability to
recognize relevant traffic participants and detect dangerous situations ahead of time. An …

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