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 contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Schloss Birlinghoven 27C contact info |
DE (Sankt Augustin) | coordinator | 0.00 |
| 2 |
DUESSELDORF CONGRESS VERANSTALTUNGSGESELLSCHAFT MBH
Organization address
address: LTU-ARENA-STRASSE 1 contact info |
DE (DUESSELDORF) | participant | 0.00 |
| 3 |
EBERHARD KARLS UNIVERSITAET TUEBINGEN
Organization address
address: Wilhelmstrasse contact info |
DE (TUEBINGEN) | participant | 0.00 |
| 4 |
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 |
| 5 |
TRACKMEN LIMITED
Organization address
address: 69 GREAT HAMPTON STREET contact info |
UK (BIRMINGHAM) | participant | 0.00 |
| 6 |
UNIVERSITA DEGLI STUDI DI GENOVA
Organization address
address: Via Balbi contact info |
IT (GENOVA) | participant | 0.00 |
| 7 |
UNIVERSITAET ULM
Organization address
address: HELMHOLTZSTRASSE 16 contact info |
DE (ULM) | participant | 0.00 |
Mappa
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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.