Skip to main content

Smart Video-Surveillance System to Detect and Prevent Local Crimes in Urban Areas

Objective

The increase in urban population lead to an increase in crime. This is aggravated by illegal immigration, criminal striping, degradation of zones. The increase of criminal activity is manifested in an increased frequency of small crimes like graffiti, theft, robbery, destruction of rubbish bins. This has had a big impact for local governments, citizens and businesses.
Local government agencies are trying to solve these problems. As was shown in New York, a reduction in petty crimes increases the sense of public order which produces further reduction in crime in general. These organizations often treat the problem with classical solutions such as increase in police resources, reintegration of offenders, rehabilitation of degraded areas and modern solutions such as urban video surveillance. However, these new technologies are often underused and inadequate.
The SmartPrevent project aims to enhance detection and prevention of crimes in local urban areas by exploiting the full potential of video-surveillance systems. We will develop and provide four important benefits: i) Systematic characterization of usual petty crimes in an area under automatic surveillance; ii) automatic detection of the most usual and frequent criminal activities; iii) a set of automated tools capable of alerting the appropriate responders; and iv) early prevention of crimes by prediction and early detection of crimes.
Rather than providing new methodologies or tools, SmartPrevent will focus on: a) improving already-existing methodologies by means of a set of guidelines for the use of video-surveillance systems; and b) providing a set of tools capable to improve of the existing crime detection systems. Our solution will be validated by deploying a realistic prototype scenario, which will actively involve the detection and prevention for crimes in an urban areas and management of these detections by final users.

Call for proposal

FP7-SEC-2013-1
See other projects for this call

Funding Scheme

CP-FP - Small or medium-scale focused research project

Coordinator

TREELOGIC TELEMATICA Y LOGICA RACIONAL PARA LA EMPRESA EUROPEA SL
Address
Parque Tecnologico De Asturias
33428 Llanera Asturias
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 351 977
Administrative Contact
Víctor Fernández-Carbajales Cañete (Mr.)

Participants (5)

QUEEN MARY UNIVERSITY OF LONDON
United Kingdom
EU contribution
€ 244 906
Address
327 Mile End Road
E1 4NS London
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Shaogang Gong (Prof.)
VISION SEMANTICS LIMITED
United Kingdom
EU contribution
€ 414 709,50
Address
Mile End Road 327
E1 4NS London
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Robert Koger (Mr.)
EMZA VISUAL SENSE LTD
Israel
EU contribution
€ 383 089
Address
Hayozma St 3 Rd
44422 Kafar Saba
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Zeev Smilansky (Dr.)
AYUNTAMIENTO DE LAS ROZAS DE MADRID
Spain
EU contribution
€ 43 714
Address
Plaza Mayor S/n
28231 Las Rozas
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
Administrative Contact
Enrique Arias Heredia (Mr.)
ANKARA STRATEJI ENSTITUSU DERNEGI
Turkey
EU contribution
€ 61 600
Address
Cumhuriyet Caddesi - Kecioren 10/19
06300 Ankara
Activity type
Other
Administrative Contact
Osman Dolu (Dr.)