Co-FRIEND
Cognitive and Flexible learning system noperating Robust Interpretation of Extended real sceNes nby multi-sensors Datafusion
| Coordinatore | AKKA INFORMATIQUE ET SYSTEMES
Organization address
address: RUE ROGER CAMBOULIVES 6 BP 13633 contact info |
| Nazionalità Coordinatore | France [FR] |
| Totale costo | 4˙106˙456 € |
| EC contributo | 2˙800˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2007-1 |
| Funding Scheme | CP |
| Anno di inizio | 2008 |
| Periodo (anno-mese-giorno) | 2008-02-01 - 2011-02-28 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
AKKA INFORMATIQUE ET SYSTEMES
Organization address
address: RUE ROGER CAMBOULIVES 6 BP 13633 contact info |
FR (TOULOUSE CEDEX 1) | coordinator | 0.00 |
| 2 |
AEROPORT TOULOUSE BLAGNAC SA
Organization address
address: AEROPORT TOULOUSE BLAGNAC, BATIMENT LA PASSERELLE contact info |
FR (BLAGNAC CEDEX) | participant | 0.00 |
| 3 |
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
Organization address
address: Domaine de Voluceau, Rocquencourt contact info |
FR (LE CHESNAY Cedex) | participant | 0.00 |
| 4 |
THE UNIVERSITY OF READING
Organization address
address: Whiteknights House, Whiteknights contact info |
UK (READING) | participant | 0.00 |
| 5 |
UNIVERSITAET HAMBURG
Organization address
address: EDMUND-SIEMERS-ALLEE contact info |
DE (HAMBURG) | participant | 0.00 |
| 6 |
UNIVERSITY OF LEEDS
Organization address
address: Woodhouse Lane contact info |
UK (LEEDS) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
Co-FRIEND aims to design a framework for understanding human activities in real environments, through an artificial cognitive vision system, identifying objects and events, and extracting sense from scene observation. It will manage uncertainty and change, and will create analysis meaning. A heterogeneous sensor network (wide angle and PTZ cameras in airport immediate area, and GPS wide area vehicle monitoring) will be deployed on Toulouse AIRPORT by SILOGIC and READING. The cognitive capabilities developed by INRIA will be demonstrated by monitoring outdoor airport activities. Deficits of current approaches to scene understanding will be addressed by CSL and LEEDS through machine learning, requiring explicit domain modelling. This challenge will provide generic research insights and demonstrate the impact of our conceptual and technical innovations.nWe will improve the performance and integration of relevant cognitive functions: learning, dynamic context adaptation, perception, tracking, and recognition. Integrating them in Co-FRIEND will address the creation and exploitation of knowledge by. Our innovations will provide relevant and flexible learning and reasoning capabilities that adapt in a largely unsupervised way to change and new events. Feedback and multi-data fusion will be exploited to achieve robust detection and efficient tracking of objects in real and complex scenes.nWith dynamic understanding contextualized to a learnt domain, porting and exploiting the technology in other installations, new contexts or other domains will be demonstrated. Research in uncertainty management will focus on maintaining long-term coherence in variable and complex scene environment. Cognitive and active visions will highlight human activity understanding by interpreting gestures and wide area monitoring. Co-FRIEND will evaluate and illustrate that robustness and adaptability in crowded environments can be obtained by multi-modal sensor fusion in a cognitive architecture.