Suspicious and Abnormal Behaviour Monitoring Using a Network of Cameras & Sensors for Situation Awareness Enhancement


 Organization address address: 327 MILE END ROAD
city: LONDON
postcode: E1 4NS

contact info
Titolo: Prof.
Nome: Shaogang
Cognome: Gong
Email: send email
Telefono: +44 20 7882 5249
Fax: +44 20 8980 6533

 Nazionalità Coordinatore United Kingdom [UK]
 Sito del progetto
 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


# participant  country  role  EC contrib. [€] 

 Organization address address: 327 MILE END ROAD
city: LONDON
postcode: E1 4NS

contact info
Titolo: Prof.
Nome: Shaogang
Cognome: Gong
Email: send email
Telefono: +44 20 7882 5249
Fax: +44 20 8980 6533

UK (LONDON) coordinator 762˙237.00

 Organization address address: VIA GIACOMO PUCCINI 2
city: GENOVA
postcode: 16154

contact info
Titolo: Ms.
Nome: Gisella
Cognome: Corbellini
Email: send email
Telefono: +39 0106582767
Fax: +39 0106583321

IT (GENOVA) participant 426˙095.00
3    Nome Ente NON disponibile

 Organization address address: RIIA - TARTU SCIENCE PARK 185
city: TARTU
postcode: 51014

contact info
Titolo: Mr.
Nome: Leon
Cognome: Borthwick
Email: send email
Telefono: 3727302641
Fax: -+372 7383041

EE (TARTU) participant 357˙557.00

 Organization address address: VIA DELL ARTIGLIERE 8
city: VERONA
postcode: 37129

contact info
Titolo: Prof.
Nome: Vittorio
Cognome: Murino
Email: send email
Telefono: -8028002
Fax: -8027074

IT (VERONA) participant 333˙000.00
5    Waterfall Solutions Ltd

 Organization address address: PARKLANDS GUILDFORD
city: WOKING
postcode: GU2 9JX

contact info
Titolo: Dr.
Nome: Moira
Cognome: Smith
Email: send email
Telefono: -239689
Fax: -238472

UK (WOKING) participant 225˙391.00

 Organization address address: UL. DLUGA 1-3
postcode: 41 506

contact info
Titolo: Mr.
Nome: Rafal
Cognome: Dunal
Email: send email
Telefono: +48 32 7899 271
Fax: -+48 32 7899 272

PL (CHORZOW) participant 158˙937.50

 Organization address address: NELSON ROAD THE COMPASS CENTRE
postcode: TW6 2GW

contact info
Titolo: Mr.
Nome: Stephen
Cognome: Challis
Email: send email
Telefono: +44-7711 858 188
Fax: -6443

UK (HOUNSLOW) participant 154˙030.00

 Organization address address: BOULEVARD VIVIER MERLE 19
city: LYON
postcode: 69003

contact info
Titolo: Mr.
Nome: Michel
Cognome: Rodet
Email: send email
Telefono: +33 4 72 84 78 51
Fax: +33 478 531 284

FR (LYON) participant 60˙804.00


 Word cloud

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

positioned    adaptive    context    audio    monitoring    people    combining    sensors    recognition    public    abnormal    sensor    detection    surveillance    situation    input    time    video    enhanced    fix    pre    real    rules    heterogeneous    bombing    network    innovative    infrastructure    multiple    security    wearable    critical    samurai    empt    false    intelligent    alarm    tools    operators    visualisation    feedback    cameras    room    cctv    alarms    mobile    suspicious    picture    networked    data   

 Obiettivo del progetto (Objective)

'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.'

Introduzione (Teaser)

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.

Descrizione progetto (Article)

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.

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