1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2021
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
Matteo Fabbri, Guillem Braso, Gianluca Maugeri +6
Deep learning-based methods for video pedestrian detection and tracking require large volumes of training data to achieve good performance. However, data acquisition in crowded pub…
cs.CV2020★ 1 cited
Inter-Homines: Distance-Based Risk Estimation for Human Safety
Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini +3
In this document, we report our proposal for modeling the risk of possible contagiousity in a given area monitored by RGB cameras where people freely move and interact. Our system,…