Team Pulsar

Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Other Grants and Activities

European Projects

Pulsar team has been involved this year in two European projects: a project on multimedia information processing (VICoMo) and a project on machine learning and activity monitoring (COFRIEND).

VICoMo Project

ViCoMo is a ITEA 2 European Project which has started on the 1st of October 2009 and will last 36 months. This project concerns advanced video-interpretation algorithms on video data that are typically acquired with multiple cameras. ViCoMo is focusing on the construction of realistic context models to improve the decision making of complex vision systems and to produce a faithful and meaningful behavior. The context of an event (a crime, group activity, or computer-aided diagnosis) can be found with multiple sensors, like a multi-camera set-up in a surveillance system. The general goal of the ViCoMo project is thus to find the context of events that were captured by the cameras or image sensors, and model the context such that reliable reasoning about an event can be established. Hence, modeling of events and the 3D surroundings helps to recognize the behavior of persons, objects and events in a 3D view.

The project is executed by a strong international consortium, including large high-tech companies (e.g. Philips, Acciona, Thales), smaller innovative SMEs (CycloMedia, VDG Security) and is complemented with relevant research groups and departments from well-known universities (TU Eindhoven, University of Catalonia, Free University of Brussels) and research institutes (INRIA, CEA List, Multitel). Participating countries are France, Spain, Finland, Turkey, Belgium and Netherlands.


COFRIEND is a European project in collaboration with Akka, University of Hamburg (Cognitive Systems Laboratory), University of Leeds, University of Reading (Computational Vision Group), Toulouse-Blagnac Airport. It has begun at the beginning of February 2008 and will last 3 years. The main objectives of this project is to develop techniques to recognise and learn automatically all servicing operations around aircraft parked on aprons.


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