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pro vyhledávání: '"Jakovčević, Toni"'
Publikováno v:
In Computer Vision and Image Understanding January 2014 118:184-196
Autor:
Jakovčević, Toni1 toni.jakovcevic@fesb.hr, Stipaničev, Darko1 darko.stipanicev@fesb.hr, Krstinić, Damir1 damir.krstinic@fesb.hr
Publikováno v:
Machine Vision & Applications. May2013, Vol. 24 Issue 4, p707-719. 13p. 2 Color Photographs, 4 Diagrams, 2 Charts, 1 Graph.
Akademický článek
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Determining the probability of fire occurrence and fire spread at certain area and time could be useful for all fire-fighting activities. A numerical measure used to describe this probability is usually referred to as a wildfire risk index, and as su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::5d775e1113124b1a2787e4eb203860b2
https://www.bib.irb.hr/764238
https://www.bib.irb.hr/764238
Autor:
Jakovčević, Toni
Sustavi detekcije dima koji se temelje na analizi slika dobivenih u vidljivom dijelu spektra počinju se razvijati prije više od 10 godina i danas postoje implementacije različitih komercijalnih sustava. Opisane su postojeće metode koje se temelje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::d554413e16b355150c067dc1ae1f5789
https://www.bib.irb.hr/479850
https://www.bib.irb.hr/479850
Wildfires are natural phenomena that cause significant economic damage. Apart from preventive measures, early fire detection on one side and quick and appropriate intervention on the other, are measures of vital importance for wildfire damage minimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::fd31f3668d7d517e3d3459d7dda11018
https://www.bib.irb.hr/515443
https://www.bib.irb.hr/515443
Autor:
Stipaničev, Darko, Štula, Maja, Krstinić, Damir, Šerić, Ljiljana, Jakovčević, Toni, Bugarić, Marin
Wildfires cause significant economic damage and have quite devastating effect on environment all over the world. Early fire detection and quick and appropriate intervention are of vital importance for wildfire damage minimization. In both cases, vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::7f97309a6ed56821941920794a98dbdc
https://www.bib.irb.hr/504818
https://www.bib.irb.hr/504818
In recent years the interest for terrestrial wildfire smoke detection systems has increased, particularly those based on video systems sensitive in visible and/or infrared (IR) spectra. Although many video based smoke-detection algorithms have been d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::81d1b8335e18de77e34aacec31330762
https://www.bib.irb.hr/504822
https://www.bib.irb.hr/504822
Forest fires represent a constant threat to ecological systems, infrastructure and human lives. Great efforts are therefore made to achieve early forest fire detection, which is traditionally based on human surveillance. Today, however, in almost eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::68f23e2bd1ea2c1ed4704272c72cf961
https://www.bib.irb.hr/409941
https://www.bib.irb.hr/409941
A focus of this paper is a pixel level analysis and segmentation of smoke colored pixels for the automated forest fi re detection. Variations in the smoke color tones, environmental illumination, atmospheric conditions and low quality of the images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::6f40c675c3da92339f1d0f46fedd24fc
https://www.bib.irb.hr/394392
https://www.bib.irb.hr/394392