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Title:
SLEDENJE OBJEKTOM S KAMERO
Authors:
ID
Vranjek, Vid
(Author)
ID
Gleich, Dušan
(Mentor)
More about this mentor...
Files:
VS_Vranjek_Vid_2014.pdf
(8,25 MB)
MD5: B9AE139BDFA2D4FE4301CB719163D3D2
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu opišemo potek gradnje in delovanja sledilnega sistema, ki temelji na razpoznavanju objektov iz realno-časovnih video posnetkov, in usmerja laserski žarek ter kamero v objekt, ki mu sledi. Večji poudarek namenimo različnim načinom sledenja in prepoznavanja objektov, njihovemu programiranju ter načinu delovanja. Opisujemo tudi digitalno sliko, njeno shranjevanje, načine obdelovanja, gradnjo sledilnega sistema in komunikacijo krmilnika z računalnikom. Nazadnje se posvetimo umerjanju sistema in izračunu kalibracijskih vrednosti.
Keywords:
računalniški vid
,
OpenCV
,
sledenje objektom
,
Qt
Place of publishing:
Maribor
Publisher:
[V. Vranjek]
Year of publishing:
2014
PID:
20.500.12556/DKUM-43509
UDC:
004.93:621.398(043.2)
COBISS.SI-ID:
17846038
NUK URN:
URN:SI:UM:DK:MZVAKAM9
Publication date in DKUM:
05.05.2014
Views:
1949
Downloads:
127
Metadata:
Categories:
KTFMB - FERI
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:
VRANJEK, Vid, 2014,
SLEDENJE OBJEKTOM S KAMERO
[online]. Bachelor’s thesis. Maribor : V. Vranjek. [Accessed 19 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=43509
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Secondary language
Language:
English
Title:
OBJECT BASED TRACKING USING CAMERA
Abstract:
In this diploma thesis we talk about the construction and working of the tracking device that detects objects in real-time. It consists of a laser and a camera, each placed on a servo powered gimbal. When tracking an object it follows it by directing a laser on, following it with a camera or both at the same time. It has different modes of operation and object recognition, for example it can detect not only moving objects or faces but it can track any rectangular area which we have marked up on a screen.
Keywords:
computer vision
,
OpenCV
,
object tracking
,
Qt
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