CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
A multi-sensor network for the protection of cultural heritage
Authors
A. Benazza
Chaabane F.
+12 more
K. Dimitropoulos
C. Ersoy
B. Gouverneur
N. Grammalidis
Gunay O.
K. Kose
B. Kosucu
E. Kuruoglu
D. Torri
S. Tozzi
Tsalakanidou F.
E. Çetin
Publication date
1 January 2011
Publisher
Doi
Cite
Abstract
The paper presents a novel automatic early warning system to remotely monitor areas of archaeological and cultural interest from the risk of fire. Since these areas have been treasured and tended for very long periods of time, they are usually surrounded by old and valuable vegetation or situated close to forest regions, which exposes them to an increased risk of fire. The proposed system takes advantage of recent advances in multi-sensor surveillance technologies, using optical and infrared cameras, wireless sensor networks capable of monitoring different modalities (e.g. temperature and humidity) as well as local weather stations on the deployment site. The signals collected from these sensors are transmitted to a monitoring centre, which employs intelligent computer vision and pattern recognition algorithms as well as data fusion techniques to automatically analyze sensor information. The system is capable of generating automatic warning signals for local authorities whenever a dangerous situation arises, as well as estimating the propagation of the fire based on the fuel model of the area and other important parameters such as wind speed, slope, and aspect of the ground surface. © 2011 EURASIP
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
ZENODO
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:openaire.cern.ch:1219
Last time updated on 18/02/2016
NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:zenodo.org:42584
Last time updated on 02/12/2022
Bilkent University Institutional Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.bilkent.edu.tr:...
Last time updated on 12/11/2016
NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:openaire.cern.ch:1219
Last time updated on 02/12/2022
CiteSeerX
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:CiteSeerX.psu:10.1.1.1026....
Last time updated on 12/04/2017