Coordinatore | QUEEN MARY UNIVERSITY OF LONDON
Organization address
address: 327 MILE END ROAD contact info |
Nazionalità Coordinatore | United Kingdom [UK] |
Sito del progetto | http://www.samurai-eu.org |
Totale costo | 3˙723˙071 € |
EC contributo | 2˙478˙052 € |
Programma | FP7-SECURITY
Specific Programme "Cooperation": Security |
Code Call | FP7-SEC-2007-1 |
Funding Scheme | CP |
Anno di inizio | 2008 |
Periodo (anno-mese-giorno) | 2008-06-01 - 2011-11-30 |
# | ||||
---|---|---|---|---|
1 |
QUEEN MARY UNIVERSITY OF LONDON
Organization address
address: 327 MILE END ROAD contact info |
UK (LONDON) | coordinator | 762˙237.00 |
2 |
SELEX ELSAG SPA
Organization address
address: VIA GIACOMO PUCCINI 2 contact info |
IT (GENOVA) | participant | 426˙095.00 |
3 |
Nome Ente NON disponibile
Organization address
address: RIIA - TARTU SCIENCE PARK 185 contact info |
EE (TARTU) | participant | 357˙557.00 |
4 |
UNIVERSITA DEGLI STUDI DI VERONA
Organization address
address: VIA DELL ARTIGLIERE 8 contact info |
IT (VERONA) | participant | 333˙000.00 |
5 |
Waterfall Solutions Ltd
Organization address
address: PARKLANDS GUILDFORD contact info |
UK (WOKING) | participant | 225˙391.00 |
6 |
ESAPROJEKT SP Z OO
Organization address
address: UL. DLUGA 1-3 contact info |
PL (CHORZOW) | participant | 158˙937.50 |
7 |
LHR AIRPORTS LIMITED
Organization address
address: NELSON ROAD THE COMPASS CENTRE contact info |
UK (HOUNSLOW) | participant | 154˙030.00 |
8 |
SYNDICAT MIXTE DES TRANSPORTS POURLE RHONE ET L AGGLOMERATION LYONNAISE
Organization address
address: BOULEVARD VIVIER MERLE 19 contact info |
FR (LYON) | participant | 60˙804.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'The aim of SAMURAI is to develop and integrate an innovative intelligent surveillance system for robust monitoring of both inside and surrounding areas of a critical public infrastructure site. SAMURAI has three significant novelties that make it distinctive from other recent and ongoing relevant activities both in the EU and elsewhere: *SAMURAI is to employ networked heterogeneous sensors rather than CCTV cameras alone so that multiple complementary sources of information can be fused to create a visualisation of a more complete ‘big picture’ of a crowded public space. *Existing systems focus on analysing recorded video using pre-defined hard rules, suffering from unacceptable false alarms. SAMURAI is to develop a real-time adaptive behaviour profiling and abnormality detection system for alarm event alert and prediction with much reduced false alarm. *In addition to fix-positioned CCTV cameras, the SAMURAI system will also take command input from control room operators and mobile sensory input for patrolling security staff for a hybrid context-aware based abnormal behaviour recognition. This is in contrary to current video behaviour recognition system that relies purely on information extracted from the video data, often too ambiguous to be effective. SAMURAI has the following scientific objectives: 1. Develop innovative tools and systems for people, vehicle and luggage detection, tracking, type categorisation across a network of cameras under real world conditions. 2. Develop an abnormal behaviour detection system based on a heterogeneous sensor network consisting of both fix-positioned CCTV cameras and mobile wearable cameras with audio and positioning sensors. These networked heterogeneous sensors will function cooperatively to provide enhanced situation awarenes. 3. Develop innovative tools using multi-modal data fusion and visualisation of heterogeneous sensor input to enable more effective control room operator queries.'
By combining visual feeds from video cameras with data from different kinds of sensors, new security systems can upgrade the safety of critical infrastructure. An EU initiative has developed cutting-edge technology to help prevent vandalism, pre-empt terrorism, control costs and save lives.
Ever since terrorist events such as the Madrid train bombing in 2004 and the London underground transport bombing in 2005, Europe has been forced to be more vigilant about its infrastructure. Current closed-circuit television (CCTV) cameras can only go so far in detecting suspect or abnormal behaviour, implying a need for more sophisticated technology that would pre-empt such apocalyptic scenarios.
The EU-funded project SAMURAI (Suspicious and Abnormal Behaviour Monitoring Using a Network of Cameras & Sensors for Situation Awareness Enhancement) set out to develop a smarter and more advanced monitoring system that detects suspicious behaviour in real time by monitoring a vast network of cameras. The new technology is based not only on CCTV cameras but also on the use of various sensors, combining several streams of data together for a more comprehensive picture.
Current security CCTV systems process video using pre-established rules that yield a high number of false alarms. SAMURAI devised a system that determines abnormal and acceptable behaviour based on feedback from system operators.
The innovative surveillance system tracks objects and people through multiple camera views and lighting levels, relying on shapes and movement patterns to identify people. It works with a variety of sensors such as mobile wearable audio and video recorders that are fitted onto security teams to improve surveillance.
The technology focuses on real-time images and provides continuous context-based information to security personnel. System operators can also instruct the system using feedback so that it does not generate false alarms.
SAMURAI enhanced the capabilities of CCTV, enabling intelligent, adaptive and rapid security surveillance. People will ultimately feel safer and more secure in public spaces.
Integrated System for Interoperable sensors & Information sources for Common abnormal vessel behaviour detection & Collaborative identification of threat
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