Training neural networks with the Moore–Penrose (MP) inverse has recently gained
attention in view of its noniterative training nature. However, a significant drawback of …

There are two main trends in the development of unmanned aerial vehicle (UAV)
technologies: miniaturization and intellectualization, in which realizing object tracking …

To obtain autonomy in applications that involve Unmanned Aerial Vehicles (UAVs), the
capacity of self-location and perception of the operational environment is a fundamental …

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 …

This paper proposes a system for tracking human position and head direction using fisheye
camera mounted to the ceiling. This is believed to be the first system to estimate head …

In this work, the problem of the cooperative visual-based SLAM for the class of multi-UA
systems that integrates a lead agent has been addressed. In these kinds of systems, a team …

Autonomous tracking of dynamic targets by the use of Unmanned Aerial Vehicles (UAVs) is
a challenging problem that has practical applications in many scenarios. In this context, a …

ABSTRACT A combination of fixed fisheye camera system and a blimp performed the task of
human following in an indoor environment in this paper, focusing on tracking the subject's …

This paper proposes a kernel projection (KP) neural network that analytically determines its
network parameters. The proposed network is composed of cascaded modules of 2-layer …

Human motion tracking systems have gained significant attention in various industries,
including healthcare, sports, entertainment, and robotics, due to their potential to …