3 papers
cs.CV2023
Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos +2
Real-time optical Motion Capture (MoCap) systems have not benefited from the advances in modern data-driven modeling. In this work we apply machine learning to solve noisy unstruct…
cs.CV2023
A Pervasive Framework for Human Detection and Tracking
Fesatidis Georgios, Bratsos Dimitrios, Kostas Kolomvatsos
The advent of the Edge Computing (EC) leads to a huge ecosystem where numerous nodes can interact with data collection devices located close to end users. Human detection and track…
cs.NI2022
A Proactive Uncertainty driven Model for Tasks Offloading
Maria Papathanasaki, Panagiotis Fountas, Kostas Kolomvatsos
The ever-increasing demands of end-users on the Internet of Things (IoT), often cause great congestion in the nodes that serve their requests. Therefore, the problem of node overlo…