eSERVANT People counting, flow analysis, smart mobility, social networking.

2017-2018
funded by: Regione Toscana

The goal of this project is to design and develop a framework for analysing, monitoring and connecting people in large facilities such as arenas, convention centers and stadiums. Here at MICC we are leading the computer vision tasks such as people detection, flow analysis and anomaly detection, and user profiling for social networking.

The goal of the eSERVANT project is to design and develop a framework for analysing, monitoring and connecting people in large facilities such as arenas, convention centers and stadiums. These are scenarios where people are connected by similar interests, like a concert or a sport event, and their behaviors in such large facilities are influenced by and may influence other people mobility. Here at MICC, we are leading the computer vision tasks such as people detection, flow analysis and anomaly detection. The key idea of the project is to use advanced computer vision algorithms to detect and monitor the user mobility in this crowded scenario. User profiling is then used to connect and suggest content to the user through a local social networking application.

There are no related publications

There are no related projects