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Title:
ZAZNAVANJE NENAVADNIH DOGODKOV S POMOČJO KAMERE PRIKLJUČENE NA USMERJEVALNIK
Authors:
ID
Rezec, Jernej
(Author)
ID
Potočnik, Božidar
(Mentor)
More about this mentor...
ID
Cigale, Boris
(Comentor)
Files:
VS_Rezec_Jernej_2013.pdf
(2,17 MB)
MD5: B105E3BC88349E15242F2B8632EBA600
PID:
20.500.12556/dkum/9438a89f-c871-45f0-ac6f-5f3a262ddb79
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 smo se ukvarjali z razvojem preprostega programskega sistema za zaznavo gibanja na osnovi računalniškega vida, ki se izvaja na usmerjevalniku. Sistem sestoji iz usmerjevalnika, na katerem je naložen operacijski sistem OpenWrt, spletne kamere in treh različnih računalniških algoritmov. Za zaznavanje gibanja smo implementirali naslednje tri algoritme, in sicer algoritem slika razlik, algoritem modeliranje ozadja in algoritem akumulirana slika razlik. Razvite algoritme smo pod istimi pogoji (tj. ob istem številu zajetih slik in isti sceni) preizkusili tako na osebnem računalniku, kakor tudi na usmerjevalniku. Rezultati so pokazali, da se zaradi svoje preprostosti najhitreje izvede algoritem slika razlik. Ugotovili pa smo tudi, da zaznavanje gibanja s tem algoritmom ni tako zanesljivo kot pri ostalih dveh algoritmih, ki sicer obdelata manjše število slik na sekundo. S pomočjo algoritma slika razlik lahko v povprečju obdelamo 34 slik na sekundo, z najpočasnejšim algoritmom, tj. algoritem modeliranje ozadja, pa obdelamo 9 slik na sekundo, pri čemer smo uporabili usmerjevalnik ASUS WL-500G V1.
Keywords:
usmerjevalnik
,
kamera
,
OpenWrt
,
programski jezik C
,
računalniki vid
,
zaznavanje gibanja
,
obdelava digitalnih slik
Place of publishing:
Maribor
Publisher:
[J. Rezec]
Year of publishing:
2013
PID:
20.500.12556/DKUM-40458
UDC:
004.43:004.92(043.2)
COBISS.SI-ID:
17083926
NUK URN:
URN:SI:UM:DK:YCT1TUMP
Publication date in DKUM:
22.05.2013
Views:
2209
Downloads:
155
Metadata:
Categories:
KTFMB - FERI
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:
REZEC, Jernej, 2013,
ZAZNAVANJE NENAVADNIH DOGODKOV S POMOČJO KAMERE PRIKLJUČENE NA USMERJEVALNIK
[online]. Bachelor’s thesis. Maribor : J. Rezec. [Accessed 23 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=40458
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Secondary language
Language:
English
Title:
DETECTION OF EXTRAORDINARY EVENTS USING WEBCAM CONNECTED TO A ROUTER
Abstract:
In this diploma thesis we were focused on a development of a simple program system. This system, running on a router, is designed to detect motion based on the computer vision. It consists of a router supported by OpenWrt operating system, webcam and of three different motion detection algorithms, which are: frame difference algorithm, background modeling algorithm and accumulative frame difference algorithm. We tested these algorithms under the same conditions (i.e., the same scene and frames captured) on a personal computer and also on router. We found out, that the simplest frame distance algorithm was the fastest, but not as reliable at motion detection as the other two algorithms, that process less frames per second. Frame difference algorithm has the average of processing 34 frames per second, while the slowest background modeling algorithm has the average of 9 frames per second. All algorithms were tested and compared running on ASUS WL-500G V1 router.
Keywords:
router
,
webcam
,
OpenWRT
,
programming language C
,
computer vision
,
motion detection
,
digital image processing
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