SEARISE

Smart Eyes: Attending and Recognizing Instances of Salient Events

 Coordinatore FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V 

 Organization address address: Schloss Birlinghoven 27C
city: Sankt Augustin
postcode: 53754

contact info
Titolo: Mr.
Nome: Stephan
Cognome: Kollmer
Email: send email
Telefono: +49 2241 14-2082
Fax: +49 2241 142386

 Nazionalità Coordinatore Germany [DE]
 Totale costo 2˙846˙301 €
 EC contributo 2˙150˙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) 2008-03-01   -   2011-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V

 Organization address address: Schloss Birlinghoven 27C
city: Sankt Augustin
postcode: 53754

contact info
Titolo: Mr.
Nome: Stephan
Cognome: Kollmer
Email: send email
Telefono: +49 2241 14-2082
Fax: +49 2241 142386

DE (Sankt Augustin) coordinator 0.00
2    DUESSELDORF CONGRESS VERANSTALTUNGSGESELLSCHAFT MBH

 Organization address address: LTU-ARENA-STRASSE 1
city: DUESSELDORF
postcode: 40474

contact info
Titolo: Mr.
Nome: Heiko
Cognome: Mueller
Email: send email
Telefono: -15981413
Fax: -15981374

DE (DUESSELDORF) participant 0.00
3    EBERHARD KARLS UNIVERSITAET TUEBINGEN

 Organization address address: Wilhelmstrasse
city: TUEBINGEN
postcode: 72074

contact info
Titolo: Prof.
Nome: Martin
Cognome: Giese
Email: send email
Telefono: -305936
Fax: -367043

DE (TUEBINGEN) participant 0.00
4    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: Ms.
Nome: Martine
Cognome: BOISSONNAT
Email: send email
Telefono: +33 492387711
Fax: +33 4 92387955

FR (LE CHESNAY Cedex) participant 0.00
5    TRACKMEN LIMITED

 Organization address address: 69 GREAT HAMPTON STREET
city: BIRMINGHAM
postcode: B18 6EW

contact info
Titolo: Mr.
Nome: Thorsten
Cognome: Mika
Email: send email
Telefono: +49 700 8722 56
Fax: +49 700 8722532

UK (BIRMINGHAM) participant 0.00
6    UNIVERSITA DEGLI STUDI DI GENOVA

 Organization address address: Via Balbi
city: GENOVA
postcode: 16126

contact info
Titolo: Prof.
Nome: Matteo
Cognome: Pastorino
Email: send email
Telefono: -3532758
Fax: -3532067

IT (GENOVA) participant 0.00
7    UNIVERSITAET ULM

 Organization address address: HELMHOLTZSTRASSE 16
city: ULM
postcode: 89081

contact info
Titolo: Mr.
Nome: RAINER
Cognome: JERG
Email: send email
Telefono: +49 731 50 25066
Fax: +49 731 50 25068

DE (ULM) participant 0.00

Mappa


 Word cloud

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

human    neural    salient    model    computational    cognitive    self    visual    cameras    video    smart    active    events    fixate    eyes   

 Obiettivo del progetto (Objective)

The SEARISE project will develop a trinocular active cognitive vision system, the Smart-Eyes, for detection, tracking and categorization of salient events and behaviours. Unlike other approaches in video surveillance, the system will have human-like capability to learn continuously from the visual input, self-adjust to ever changing visual environment, fixate salient events and follow their motion, categorize salient events dependent on the context. Inspired by the human visual system, a cyclopean camera will perform wide range monitoring of the visual field while active binocular stereo cameras will fixate and track salient objects, mimicking a focus of attention that switches between different interesting locations. The core of this artificial cognitive visual system will be a dynamic hierarchical neural architecture – a computational model of visual processing in the brain. Information processing in Smart-Eyes will be highly efficient due to a multi-scale design: Controlled by the cortically plausible neural model, the active cameras will provide a multi-scale video record of salient events. The processing will self-organize to adapt to scale variations and to assign the majority of computational resources to the informative parts of the scene. Smart-Eyes will be tested in real-life scenarios for observation of large crowded public spaces and of individual activities within restricted areas.

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