The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …

There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …

Single-object tracking is a well-known and challenging research topic in computer vision.
Over the last two decades, numerous researchers have proposed various algorithms to …

Abstract Convolutional Neural Networks (CNNs) showed state-of-the-art accuracy in image
classification on large-scale image datasets. However, CNNs show considerable poor …

Deep similarity trackers are able to track above real-time speed. However, their accuracy is
considerably lower than deep classification based trackers since they avoid valuable online …

Video multi-object tracking is one of the important research topics in the field of computer
vision, which is widely used in military and civil areas. At present, the research of single …

Multiple object tracking has attracted great interest in the computer vision community. Most
researchers focus on the applications under a single static or moving camera. In intelligent …

Об'єкт дослідження: інформаційна технологія стеження за об'єктами у відеоряді.
Предмет дослідження: процес стеження за об'єктами у відеоряді. Мета магістерської …

Reliable track continuity is an important characteristic of multiple target tracking (MTT)
algorithms. In the specific case of tracking multiple ground targets from an aerial platform …

The problem of appearance invariant subject re-identification for Entry-Exit surveillance
applications is addressed. A novel Semantic Entry-Exit matching model that makes use of …