Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
Statistics
Login
First page
>
Show document
Show document
Title:
Prepoznavanje obraza slavnih oseb v videoposnetkih : magistrsko delo
Authors:
ID
Gorišek, Feliks
(
Author
)
ID
Kačič, Zdravko
(
Mentor
)
More about this mentor...
ID
Zimšek, Danilo
(
Comentor
)
Files:
MAG_Gorisek_Feliks_2019.pdf
(10,37 MB)
MD5: 4517F3A6E4C4B0AD21497CE3A95A3452
PID:
20.500.12556/dkum/20e00c92-b959-4fd4-a14e-5524839a7e82
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Magistrsko delo sodi na področje digitalne obdelave slik in videa. Prepoznavanje obrazov je danes prisotno že na skoraj vseh mobilnih napravah višjega cenovnega razreda. Področje prepoznavanja obrazov v video posnetkih pa še v komercialni uporabi ni tako uveljavljeno, zato bomo to področje raziskali. V teoretičnem delu magistrskega dela smo podali teoretične osnove iskanja ključnih točk in določanja ujemanja obrazov. V praktičnem delu magistrskega dela naloge smo definiran teoretični sistem prepoznavanja obrazov implementirali kot storitev prepoznavanja slavnih oseb v video posnetkih. Izvedli smo teste praktične uporabe, podali eksperimentalne rezultate in analizirali uporabno vrednost.
Keywords:
algoritem SURF
,
odkrivanje obrazov
,
prepoznavanje obrazov
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
F. Gorišek
Year of publishing:
2019
Number of pages:
VIII, 43 str.
PID:
20.500.12556/DKUM-73530
UDC:
004.8(043.2)
COBISS.SI-ID:
22513174
NUK URN:
URN:SI:UM:DK:LNZNQAQF
Publication date in DKUM:
21.06.2019
Views:
2120
Downloads:
151
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
09.05.2019
Secondary language
Language:
English
Title:
Celebrity face recognition in videos
Abstract:
The master's thesis belongs to the field of digital processing of digital images and video signals. Face detection is present today on almost all mobile high-end devices. The field of face recognition in video clips, even in commercial use, is not so well established, so we will explore this area. In the theoretical part of the master's thesis we will obtain the theoretical basis for finding key points and finding matching faces. In the practical part of the master's thesis, the defined theoretical face recognition system will be implemented as a service for recognizing celebrities in video recordings. We will make practical tests of usage, experimental results and analyze the usable value.
Keywords:
SURF algorithm
,
face detection
,
face recognition
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
