Computer Vision
Projects
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.
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.
FREEWAY
Face Recognition and Body Re-identification in the Wild
2016-2019
funded by: Leonardo – Finmeccanica
FREEWAY is a technology transfer project in collaboration with the Italian multinational aerospace, defense and security company Finmeccanica. In this project MICC is transferring its know-how in state-of-the-art computer vision for face and full-body recognition and re-identification.
eSERVANT
People counting, flow analysis, smart mobility, social networking.
2017-2018
eSERVANT. Project co-financed under Tuscany POR FESR 2014-2020. Analysing, monitoring and connecting people in large facilities.