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 …

In this paper, we use the deep sort multi-target tracking algorithm to achieve multi-target
tracking of pedestrians and vehicles in traffic scenes. In this paper, firstly, yolov4 is used to …

With the shortcomings of traditional algorithm in video surveillance on low accuracy, poor
robustness and unable achieved real-time tracking for multi-targets, this paper presents a …

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 …

Nowadays, 5G profoundly impacts video surveillance and monitoring services by processing
video streams at high-speed with high-reliability, high bandwidth, and secure network …

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

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 …

Object tracking is a pivotal part of video processing. Defense based UAVs generally fly at an
altitude of 20,000-30,000 ft. Conventionally, it's quite easy to track objects from a stationary …

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 …