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 …

A robust MOT (multi-object tracking) is very crucial for computer vision applications such as
crowd density estimation and autonomous vehicles. Most of the existing mot approaches …

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 …

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 …

Tracking-by-detection is a popular paradigm for Multi-Object Tracking (MOT), but the
problems of unstable tracking and frequent ID transitions still occur due to the low …

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

Detection plays an important role in improving the performance of multi-object tracking
(MOT), but most recently MOT works mainly focus on association algorithm and usually …

Object tracking has emerged as an essential process for various applications in the field of
computer vision, such as autonomous driving. Recently, object tracking technology has …

In recent years, multi-target tracking algorithms have been developed rapidly. However, in
multi-target tracking, mutual occlusion and cross between targets and sudden …

Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for
traffic monitoring, management, and optimization as the number of network cameras …