Co-FRIEND

Cognitive and Flexible learning system noperating Robust Interpretation of Extended real sceNes nby multi-sensors Datafusion

Coordinatore	AKKA INFORMATIQUE ET SYSTEMES    more  Organization address address: RUE ROGER CAMBOULIVES 6 BP 13633 city: TOULOUSE CEDEX 1 postcode: 31036 contact info Titolo: Mr Nome: David Cognome: CHER Email: send email Telefono: 33534468035 Fax: 33534619222
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

#	participant	country	role	EC contrib. [€]
1	AKKA INFORMATIQUE ET SYSTEMES  Organization address address: RUE ROGER CAMBOULIVES 6 BP 13633 city: TOULOUSE CEDEX 1 postcode: 31036 contact info Titolo: Mr Nome: David Cognome: CHER Email: send email Telefono: 33534468035 Fax: 33534619222	FR (TOULOUSE CEDEX 1)	coordinator	0.00
2	AEROPORT TOULOUSE BLAGNAC SA  Organization address address: AEROPORT TOULOUSE BLAGNAC, BATIMENT LA PASSERELLE city: BLAGNAC CEDEX postcode: 31703 contact info Titolo: Mr. Nome: Lionel Cognome: BOUSQUET Email: send email Telefono: 335614245 Fax: 335614244	FR (BLAGNAC CEDEX)	participant	0.00
3	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE  Organization address address: Domaine de Voluceau, Rocquencourt city: LE CHESNAY Cedex postcode: 78153 contact info Titolo: Mrs Nome: Martine Cognome: BOISSONNAT Email: send email Telefono: +33 4 92387711 Fax: +33 4 92387955	FR (LE CHESNAY Cedex)	participant	0.00
4	THE UNIVERSITY OF READING  Organization address address: Whiteknights House, Whiteknights city: READING postcode: RG6 6AH contact info Titolo: Mrs Nome: Angela Cognome: Pettit Email: send email Telefono: 441184000000 Fax: 441184000000	UK (READING)	participant	0.00
5	UNIVERSITAET HAMBURG  Organization address address: EDMUND-SIEMERS-ALLEE city: HAMBURG postcode: 20146 contact info Titolo: Mrs. Nome: Doris Cognome: Lewerenz Email: send email Telefono: +49 428384410 Fax: 4940430000000	DE (HAMBURG)	participant	0.00
6	UNIVERSITY OF LEEDS  Organization address address: Woodhouse Lane city: LEEDS postcode: LS2 9JT contact info Titolo: Mrs Nome: Kathy Cognome: Brownridge Email: send email Telefono: 441133000000 Fax: 441133000000	UK (LEEDS)	participant	0.00

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 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.