Camera-equipped Unmanned Aerial Vehicles (UAVs, or drones) have revolutionized several application domains, with a steadily increasing degree of cognitive autonomy in …
This paper presents a novel Convolutional Neural Network (CNN) architecture for 2D human pose estimation from RGB images that balances between high 2D human pose/skeleton …
The use of camera-equipped Unmanned Aerial Vehicles (UAVs, or “drones”) for a wide range of aerial video capturing applications, including media production, surveillance …
Abstract Cinematography with Unmanned Aerial Vehicles (UAVs) is an emerging technology promising to revolutionize media production. On the one hand, manually …
Camera-equipped UAVs, or drones, are increasingly employed in a wide range of applications. Thus, ensuring their safe flight in areas containing people is a top priority. In …
One of the most important aesthetic concepts in autonomous Unmanned Aerial Vehicle (UAV) cinematography is the UAV/Camera Motion Type (CMT), describing the desired UAV …
C Papaioannidis, I Pitas - … on Circuits and Systems for Video …, 2019 - ieeexplore.ieee.org
In this paper, a framework is proposed for object recognition and pose estimation from color images using convolutional neural networks (CNNs). 3D object pose estimation along with …
A Sochopoulos, I Mademlis… - … on Multimedia and …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs, or drones) have revolutionized modern media production. Being rapidly deployable" flying cameras", they can easily capture aesthetically …
Recent advances in artificial intelligence, control and sensing technologies have facilitated the development of autonomous Unmanned Aerial Vehicles (UAVs). Detecting humans from …