Multi-target multi-camera (MTMC) tracking is one of the important fields in computer vision,
where multiple objects are tracked across multiple cameras. MTMC tracking can be applied …

The growing intelligence and prevalence of drones have led to an increase in their
disorderly and illicit usage, posing substantial risks to aviation and public safety. This paper …

Abstract Multi-Target Multi-Camera tracking is a fundamental task for intelligent traffic
systems. The track 1 of AI City Challenge 2022 aims at the city-scale multi-camera vehicle …

Unmanned aerial vehicles (UAVs) have increased the convenience of urban life.
Representing the recent rapid development of drone technology, UAVs have been widely …

To overcome premature convergence in the grey wolf optimizer (GWO), in this study, a
modified GWO integrating the basic GWO with the Gaussian estimation of distribution (GED) …

In this paper, the multi-target tracking (MTT) with an unmanned aerial vehicle (UAV) swarm
is investigated in the presence of jammers, where UAVs in the swarm communicate with …

Unmanned aerial vehicles (UAVs) have been widely used in urban target-tracking tasks,
where long-term tracking of evasive targets is of great significance for public safety …

This contribution presents a solution to improve the performances of micro unmanned aerial
vehicles (UAVs) by increasing their missions coverage in terms of distance and time. This is …

Summary The Internet of Things (IoT) has gained widespread adoption, prompting the
addition of new connected devices to the network, such as Unmanned Aerial Vehicles …

To solve the problem of cooperative target tracking considering ground moving-targets and
threats, a novel approach for multiple unmanned aerial vehicles (multi-UAV) cooperative …