prikaz prve stranice dokumenta Metoda analize video zapisa za detekciju dima
  Download
PDF 170.4 KB
master's thesis
Metoda analize video zapisa za detekciju dima
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. urn:nbn:hr:200:606179
Crnarić, Antun
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Crnarić, A. (2015). Metoda analize video zapisa za detekciju dima (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:606179

Crnarić, Antun. "Metoda analize video zapisa za detekciju dima." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:606179

Crnarić, Antun. "Metoda analize video zapisa za detekciju dima." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:606179

Crnarić, A. (2015). 'Metoda analize video zapisa za detekciju dima', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:606179

Crnarić A. Metoda analize video zapisa za detekciju dima [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:200:606179

A. Crnarić, "Metoda analize video zapisa za detekciju dima", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:606179

Metadata
TitleMetoda analize video zapisa za detekciju dima
Title (english)A method for forest fire detection by processing the video data
AuthorAntun Crnarić
MentorIrena Galić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberJosip Job (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2015-10-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
Predložena je metoda za detekciju šumskih požara analizom niza slika dobivenih iz fiksno postavljene video kamere koja snima okolinu. Prvi korak je detekcija pomaka u slici tehnikom oduzimanja pozadine primjenom modela Gaussovih mješavina. Dobivena područja se opisuju konturama nad kojima se provodi filtracija radi smanjivanja šumova i spajanje bliskih kontura kako bi se naglasile bitne informacije. Praćenjem položaja kontura kroz niz slika izdvajaju se one konture koje zadržavaju konstantan položaj. Na kraju se provodi analiza slika u RGB i YCbCr sustavu boja i donosi konačna odluka radi li se o dimu. Uspješnost rada algoritma je zadovoljavajuća.
Abstract (english)
This paper proposes a method for forest fire detection by processing the video data generated by an ordinary camera monitoring the scene. First step is background subtraction using Gaussian mixture model. For moving regions we extract contours which are then filtered by size to remove the noise and merged if they are close to emphasize more important regions. Keeping track of contour history allows us to separate contours that don't change their position on image. The decision is made after performing image analysis in RGB and YCbCr color space. Algorithm shows satisfactory results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:606179
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-06-03 10:26:34