Pedestrian detection and tracking are essential problems in the field of computer vision,
having a wide range of applications in surveillance, security, autonomous driving and …

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 …

Object detection and tracking in videos is an important problem in computer vision thanks to
its wide applications in various video analysis scenarios. As a result, it has attracted huge …

People detection in 2D images has improved greatly in recent years. However,
comparatively little of this progress has percolated into multi-camera multi-people tracking …

Pedestrian tracking is highly relevant to the understanding of static and moving scenes in
video sequences. The increasing demand for people's safety and security has resulted in …

With the rapid development of deep learning, object detection and tracking play a vital role
in today's society. Being able to identify and track all the pedestrians in the dense crowd …

Real-time human detection and tracking are dynamic research domains within the computer
vision community. While human detection has made significant advancements in recent …

In recent years, pedestrian detection and tracking have significant progress in both
performance and latency. However, detecting and tracking pedestrian human-body in highly …

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 …

Deep learning-based methods for video pedestrian detection and tracking require large
volumes of training data to achieve good performance. However, data acquisition in …