Updates on the MARVEL Trento Pilot Cases - Staged recordings Vol. 2
A new session of recordings has been organized on April 21st, 2022, in Santa Maria Maggiore square in Trento. This is the second session after the one held in Zuffo car park. Like in the case of the Zuffo car park, in Santa Maria Maggiore, the Municipality of Trento has placed some cameras to monitor the city’s public spaces.
Fondazione Bruno Kessler and the Municipality of Trento collected multimodal sample data to test the technology under development in the project. In particular, they recorded events such as people making loud noises, playing music at high volume, arguing loud, or fighting. They also staged drug dealing and a person fainting or people escaping (running fast) from a situation such as a pedestrian mugging assault. It is worth mentioning that the drug dealing events were mocked based on suggestions that were directly provided by the local police.
In figure 1 and figure 2, you can see our partners from FBK directing and starting video and audio recording of the MT fixed cameras that you can see just above the car in the corner of the building. And some other volunteers are nearby.
In figure 3 you can see an event that was captured based on a staged scenario. According to the scenario, someone steals a bag from a pedestrian and another pedestrian comes to help by blocking the thief’s escape route.
Similarly, figure 4 depicts a captured sequence based on a staged drug dealing scenario. According to the scenario presented, the client contacts the drug dealer, and later on the drug dealer places the drugs near a tree on the left side of the image.
We are excited that the project outcomes will enable us to capture actual events in the next future and therefore have AI being in support of law enforcement agencies!
- Project Coordinator: Dr. Sotiris Ioannidis
- Institution: Foundation for Research and Technology Hellas (FORTH)
- E-mail: email@example.com
- Start: 01.01.2021
- Duration: 36 months
- Participating Organisations: 17
- Number of countries: 12
This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.