Browsing by Author "Dimitropoulos, K."

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Open Access
Fire detection and 3D fire propagation estimation for the protection of cultural heritage areas
(Copernicus GmbH, 2010) Dimitropoulos, K.; Köse, Kıvanç; Grammalidis, N.; Çetin, A. Enis
Beyond taking precautionary measures to avoid a forest fire, early warning and immediate response to a fire breakout are the only ways to avoid great losses and environmental and cultural heritage damages. To this end, this paper aims to present a computer vision based algorithm for wildfire detection and a 3D fire propagation estimation system. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) smoke-coloured regions, (iii) rising regions, and (iv) shadow regions. After detecting a wildfire, the main focus should be the estimation of its propagation direction and speed. If the model of the vegetation and other important parameters like wind speed, slope, aspect of the ground surface, etc. are known; the propagation of fire can be estimated. This propagation can then be visualized in any 3D-GIS environment that supports KML files.
Open Access
Flame detection for video-based early fire warning for the protection of cultural heritage
(2012-10-11) Dimitropoulos, K.; Günay, Osman; Köse, Kıvanç; Erden, Fatih; Chaabene, F.; Tsalakanidou, F.; Grammalidis, N.; Çetin, Enis
Cultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. The use of terrestrial systems, typically based on video cameras, is currently the most promising solution for advanced automatic wildfire surveillance and monitoring. Video cameras are sensitive in visible spectra and can be used either for flame or smoke detection. This paper presents and compares three video-based flame detection techniques, which were developed within the FIRESENSE EU research project. © 2012 Springer-Verlag Berlin Heidelberg.
Open Access
A multi-sensor network for the protection of cultural heritage
(IEEE, 2011) Grammalidis, N.; Çetin, A. Enis; Dimitropoulos, K.; Tsalakanidou F.; Köse, Kıvanç; Günay, Osman; Gouverneur, B.; Torri, D.; Kuruoglu, E.; Tozzi, S.; Benazza, A.; Chaabane F.; Kosucu, B.; Ersoy, C.
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.
Open Access
Video fire detection-Review
(Elsevier, 2013) Çetin, A. Enis; Dimitropoulos, K.; Gouverneur, B.; Grammalidis, N.; Günay, O.; Habiboğlu, Y. H.; Töreyin, B. U.; Verstockt, S.
This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to use security cameras and special purpose infrared surveillance cameras for fire detection. This requires intelligent video processing techniques for detection and analysis of uncontrolled fire behavior. VFD may help reduce the detection time compared to the currently available sensors in both indoors and outdoors because cameras can monitor "volumes" and do not have transport delay that the traditional "point" sensors suffer from. It is possible to cover an area of 100 km2 using a single pan-tilt-zoom camera placed on a hilltop for wildfire detection. Another benefit of the VFD systems is that they can provide crucial information about the size and growth of the fire, direction of smoke propagation.
Open Access
Video-Based FLame detection for the protection of cultural heritage
(SAGE, 2013) Dimitropoulos, K.; Gunay, O.; Kose, K.; Erden, F.; Chaabane, F.; Tsalakanidou, F.; Grammalidis, N.; Çetin, A. Enis
The majority of cultural heritage and archaeological sites, especiallyin the Mediterranean region, are covered with vegetation, whichincreases the risk of fires. These fires may also break out and spreadtowards nearby forests and other wooded land, or conversely start innearby forests and spread to archaeological sites. Beyond takingprecautionary measures to avoid a forest fire, early warning andimmediate response to a fire breakout are the only ways to avoidgreat losses and environmental and cultural heritage damages. Theuse of terrestrial systems, typically based on video cameras, iscurrently the most promising solution for advanced automatic wildfiresurveillance and monitoring due to its low cost and short responsetime. Early and accurate detection and localization of flame is anessential requirement of these systems, however, it remains achallenging issue due to the fact that many natural objects havesimilar characteristics with fire. This paper presents and comparesthree video-based flame detection techniques, which weredeveloped within the FIRESENSE EU research project, taking intoaccount the chaotic and complex nature of the fire phenomenonand the large variations of flame appearance in video. Experimentalresults show that the proposed methods provide high fire detectionrates with reasonable false alarm ratios.