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scientific master's theses
Segmentacija slijeda slika metodama oduzimanja pozadine
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. urn:nbn:hr:168:394080
Krapac, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Institutional repository: FER Repository

Cite this document

Krapac, J. (2006). Segmentacija slijeda slika metodama oduzimanja pozadine (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:394080

Krapac, Josip. "Segmentacija slijeda slika metodama oduzimanja pozadine." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:394080

Krapac, Josip. "Segmentacija slijeda slika metodama oduzimanja pozadine." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:394080

Krapac, J. (2006). 'Segmentacija slijeda slika metodama oduzimanja pozadine', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:394080

Krapac J. Segmentacija slijeda slika metodama oduzimanja pozadine [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2006 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:394080

J. Krapac, "Segmentacija slijeda slika metodama oduzimanja pozadine", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2006. Available at: https://urn.nsk.hr/urn:nbn:hr:168:394080

Metadata
TitleSegmentacija slijeda slika metodama oduzimanja pozadine
Title (english)Image Sequence Segmentation Based on Background Subtraction Methods
AuthorJosip Krapac
MentorSlobodan Ribarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberSlobodan Ribarić (član povjerenstva)
Committee memberNikola Pavešić (član povjerenstva)
VIAF: 305473372
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronics, Microelectronics, Computer and Intelligent Systems)
Zagreb
Defense date and country2006-10-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
Jedan od važnih zadataka niže razine u sustavima računalnog vida je segmentacija scene. Segmentacija temeljena na kretanju odvaja pokretne objekte od statičnih dijelova scene. U radu je dan pregled metoda koje segmentiraju scenu na temelju pokreta, s posebnim naglaskom na metode oduzimanja pozadine. Implementirane metode oduzimanja pozadine testirane su na umjetno generiranim i stvarnim slijedovima slika. Rezultati su usporedeni na temelju mjere kvalitete klasifikacije. Istražena je moguc´nost uporabe linearne diskriminantne analize u oblikovanju modela pozadine, te ukazano na probleme ovog pristupa. Predloženi su modeli pozadine, izgradeni prototipovi, te ocjenjena njihova uspješnost na testnim slijedovima slika. Metode oduzimanja pozadine prepostavljaju nepokretnu kameru. U sklopu rada oblikovan je model sustava za segmentaciju slijeda slika pokretne ruke uporabom kamere nagibzakret. Zajednički prikaz scene ostvaren je izgradnjom cilindrične panorame. Takav prikaz je omoguc´io uporabu metoda oduzimanja pozadine u slučaju kada je kretanje kamere ograničeno na zakret oko optičkog centra kamere.
Abstract (english)
Scene segmentation presents an important first task of many computer vision systems. Motion-based segmentation separates moving objects form static parts of the scene. An overview of motion-based segmentation methods is given, with an emphasis on background subtraction methods. Implemented background subtraction methods were tested both on artificially generated and real image sequences. Results of tested methods were compared using a measure of classifier quality. This work explored the use of linear discriminant analysis in design of background model, and pointed out problems of this approach. Proposed background models were implemented and their efficacy in segmenting test image sequences was evaluated. Background subtraction methods assume static camera. In this work a model for segmentation image sequence, acquired by pan-tilt camera, presenting movement of human hand was proposed. Common scene representation was accomplished by construction of cylindrical panorama. This representation allowed use of background subtraction methods in the moving camera case, when movement of the camera is constrained to rotation about camera’s optical center.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:394080
Study programmeTitle: Postgraduate master programe in computing
Study programme type: university
Study level: postgraduate
Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2020-01-17 11:54:54