Pedestrian tracking is an important task in the field of computer vision and is the basis for
other advanced vision tasks such as human pose estimation, motion recognition and …

Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

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

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 …

Due to the rapid growth in the demand for crowd analysis and monitoring methods, there is
an urgent need for pedestrian tracking and counting methods that are more efficient …

A multi-objective pedestrian tracking method based on you only look once-v8 (YOLOv8) and
the improved simple online and real time tracking with a deep association metric …

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 …

Pedestrian multi-object tracking is an important research direction in the fields of computer
vision which has been widely applied in intelligent surveillance, human-computer interaction …

Over the past several years, significant progress has been made in object tracking, but
challenges persist in tracking objects in high-resolution images captured from drones. Such …

In this paper, we introduce a multi-pedestrian tracking algorithm for tracking from a moving
vehicle. The method is based on online learning of a random ferns (RF) tracker model using …