This paper presents a method for planning optimal trajectories with a team of Unmanned
Aerial Vehicles (UAVs) performing autonomous cinematography. The method is able to plan …

This paper presents a system for the execution of autonomous cinematography missions
with a team of drones. The system allows media directors to design missions involving …

The goal of few-shot image learning is to utilize a very small amount of training examples in
order to train a machine learning model to recognize a given number of image classes …

The popularization of commercial, battery-powered, camera-equipped, Vertical Take-off and
Landing (VTOL) Unmanned Aerial Vehicles (UAVs) during the past decade, has significantly …

Malaysia ranks third among ASEAN countries in terms of deaths due to accidents, with an
alarming increase in the number of fatalities each year. Road conditions contribute …

1D, 2D and multidimensional convolutions are basic tools in deep learning, notably in
convolutional neural networks (CNNs) and in computer vision (template matching …

Object tracking in an image is a method of detecting an object in every frame of an image
acquired with a photographing device and tracking it according to a change in position and …

Teams of multiple Unmanned Aerial Vehicles (UAVs) can be used to record large-scale
outdoor scenarios and complementary views of several action points as a promising system …

Malaysia ranks third among ASEAN countries in terms of deaths due to accidents, with an
alarming increase in the number of fatalities each year. Road conditions contribute …

This paper presents a system for the execution of autonomous cinematography missions
with a team of drones. The system allows media directors to design missions involving …