Multiple object tracking (MOT) in urban traffic is exciting since there is large variation of road
user appearance. In order to overcome that variation while tracking the objects, a deep …

In the field of robot and autopilot, aiming at the difficulty that the traditional single target
pedestrian tracking algorithm needs manual frame selection, this paper puts forward a …

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 …

Target tracking has become one of the research hotspots in the field of computer vision in
recent years. In this paper, a new intelligent algorithm of infrared multi-pedestrian tracking in …

The tracking of a particular pedestrian is an important issue in computer vision to guarantee
societal safety. Due to the limited computing performances of unmanned aerial vehicle …

Multi-target tracking is a complex problem in computer vision, involving occlusion, target
trajectory disappearance, etc. In response to these questions, we first propose a trajectory …

Vehicle tracking plays an important role in traffic surveillance systems in which efficient traffic
management is the main objective. During the last several decades, with the rapid growth of …

Pedestrian target tracking is an important problem in the field of computer vision. To address
low tracking accuracy and tracking errors in pedestrian target tracking. This paper …

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

Nano-sized unmanned aerial vehicles (UAVs) have been attracting growing attention from
both academia and industry with their compact and versatile nature. With the size of merely …