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Title:
ZAKRIVANJE GIBAJOČIH SE OBJEKTOV V VIDEO POSNETKIH IN PRIMERJAVA Z NJIHOVIMI MODELI 4D
Authors:
ID
Kolarič, Uroš
(Author)
ID
Zazula, Damjan
(Mentor)
More about this mentor...
ID
Podbreznik, Peter
(Comentor)
Files:
MAG_Kolaric_Uros_2013.pdf
(3,16 MB)
MD5: 3E456C94CEF49C312C5FCD1807C97150
PID:
20.500.12556/dkum/fd54230f-3c48-4c7b-b58f-c0283d9cab6b
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V tem magistrskem delu se ukvarjamo z dvema povezanima problemoma, za katera iščemo rešitve s pomočjo obdelave slik in računalniškega vida. V prvem delu se ukvarjamo z zakrivanjem gibajočih se objektov na video posnetkih, v drugem delu pa razvijemo postopek, s katerim primerjamo računalniške modele objektov in fotografije njihovih realizacij. Vhodne podatke zajemamo kot videe ali fotografije z digitalno kamero. Na posneti sceni poiščemo s pomočjo računalniške analize na zaporedju slik objekte, ki se premikajo, in jih zakrijemo. Programske rešitve smo prototipno razvijali z orodjem MATALB in knjižnico OpenCV, naknadno pa smo jih prenesli še v programski jezik C++, tako da se lahko izvajajo v realnem času. Računalniške modele objektov smo privzeli po standardu IFC iz gradbene informatike, ki predstavljajo 3D model zgradbe. Če dodamo še terminski plan, pridemo do 4D modela. Ujemanje načrta z realno situacijo smo izvedli tako, da smo ravninske projekcije 3D modelov poravnali s fotografijami realizacije in iskali razlike. Pri preizkušanju smo zgradbe simulirali z lesenimi maketami. Pri programiranju prototipnih rešitev smo si pomagali z računalniško grafiko in standardom OpenGL ter knjižnico EmguCV rešitvami za računalniški vid. Uporabili smo okolje .NET in programski jezik C#. Realizirani postopek za zakrivanje gibajočih se objektov smo statistično ocenili s senzitivnostjo in preciznostjo, iskanje razhajanj med modelom in realno situacijo pa z maketami.
Keywords:
računalniški vid
,
poravnava slik
,
morfološki operatorji
,
4D modeli
,
zakrivanje objektov
Place of publishing:
Maribor
Publisher:
[U. Kolarič]
Year of publishing:
2013
PID:
20.500.12556/DKUM-39873
UDC:
004.925.2:621.397(043.3)
COBISS.SI-ID:
16823830
NUK URN:
URN:SI:UM:DK:ES33UY2G
Publication date in DKUM:
22.03.2013
Views:
1857
Downloads:
198
Metadata:
Categories:
KTFMB - FERI
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:
KOLARIČ, Uroš, 2013,
ZAKRIVANJE GIBAJOČIH SE OBJEKTOV V VIDEO POSNETKIH IN PRIMERJAVA Z NJIHOVIMI MODELI 4D
[online]. Master’s thesis. Maribor : U. Kolarič. [Accessed 3 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=39873
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Secondary language
Language:
English
Title:
MASKING THE MOVING OBJECTS IN VIDEOS AND COMPARISON WITH THEIR 4D MODELS
Abstract:
In this master’s thesis, we are dealing with two related problems that can be solved by using image processing and computer vision. In the first part, we go for masking of moving object in videos. In the second part, we develop a procedure that compares computer models of object to the photos of real situations. We capture input data as a video or a photo by a digital camera. Recorded scenes were analyzed by computer algorithms to detect the moving objects in videos, which we mask afterwards. A software prototype was developed in MATLAB and the OpenCV library, which was, afterwards, ported to a real time version in the C++ programming language. We constructed computer models of object by following the example of the IFC standard that is known in the field of construction informatics. 4D models were created from a scheduled sequence of 3D models. Our goal was to detect differences between the scheduled model and the corresponding photo of real situation. We registered a planar projection of 3D models with the photos looked for the differences. For the verification purposes, we built wooden models and their 4D computer counterparts. A software prototype was developed based on the computer graphic principles and the OpenGL standard. The computer vision part was supported by the EmguCV library and developed in the .NET environment with the C# programming language. Final validation of derived approaches was performed statistically by computing sensitivity and precision for masking the moving objects in videos, and by simulating 4D-model comparisons with real situation on wooden models.
Keywords:
computer vision
,
image registration
,
morphological operators
,
4D models
,
masking of objects
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