Computer Vision

ReInHerit

Redefining the Future of Culture Heritage, through a disruptive model of sustainability

Mar 2021- Feb 2024
Funded by: the European Union’s Horizon 2020 programme
ReInHerit (Redefining the Future of Culture Heritage, through a disruptive model of sustainability) aspires to create a model of sustainable heritage management, which will foster a digital dynamic European network of heritage stakeholders.

GANIMEDE

Object detection and recognition

2018-2019
funded by: Leonardo – Finmeccanica

GANIMEDE is a technology transfer project in collaboration with the Italian multinational aerospace, defense and security company Leonardo. In this project MICC is developing a video analysis framework to detect and recognise objects of security interest.

Predicting Action Progress

Action understanding and prediction for humans assistance

2018-2019
In this project we address the problem of predicting action progress in videos. This is an extremely important task because, on the one hand, it can be valuable for a wide range of applications and, on the other hand, it facilitates better action detection results.
To solve this problem we introduce a novel approach, named ProgressNet, capable of predicting when an action takes place in a video, where it is located within the frames, and how far it has progressed during its execution.

AI4Media

Period: Sep. 2020 – Aug. 2024 – Funded by EU H2020 research and innovation programme under grant agreement No 951911