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Title:AVTOMATSKO ŠTETJE OSEB S POMOČJO TEHNIK RAČUNALNIŠKEGA VIDA
Authors:ID Valenko, Aleksander (Author)
ID Potočnik, Božidar (Mentor) More about this mentor... New window
Files:.pdf VS_Valenko_Aleksander_2014.pdf (17,57 MB)
MD5: 13E5A31F0D6F9546859175E7DA255066
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo se ukvarja s prepoznavanjem oseb, ki se gibajo, in njihovim štetjem. V sklopu diplomskega dela se je razvil algoritem za avtomatsko štetje oseb na osnovi video posnetka. Algoritem deluje tako, da na slikah, ki jih zajame s spletno kamero, poišče osebe. Za iskanje oseb se uporabi povprečna slika, ki se odšteje od zajete slike, nato pa se s pomočjo računalniškega vida ugotovi, ali je na sliki oseba. Na osnovi obdelane slike algoritem označi zaznano osebo na sliki, hkrati pa ustrezno spremeni števec za štetje oseb. Algoritem se je med izdelavo dela integriral v prototipno aplikacijo, ki s pomočjo grafičnega uporabniškega vmesnika prikazuje rezultate. Algoritem je bil testiran na desetih video posnetkih, na katerih so se odvijali različni scenariji vstopanja in/ali izstopanja oseb v/iz prostora. Na podlagi pridobljenih rezultatov je izračunana natančnost algoritma, ki je 80 %, hitrost obdelave posamezne slike pa je 0,125 sekunde na tipični današnji strojni opremi.
Keywords:premikanje oseb, zaznavanje oseb, označevanje osebe, štetje, obdelava digitalnih slik in videa, zajem slik s spletno kamero
Place of publishing:Maribor
Publisher:[A. Valenko]
Year of publishing:2014
PID:20.500.12556/DKUM-44267 New window
UDC:004.8:004.93(043.2)
COBISS.SI-ID:17870870 New window
NUK URN:URN:SI:UM:DK:K59L3K0E
Publication date in DKUM:19.05.2014
Views:2043
Downloads:132
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
VALENKO, Aleksander, 2014, AVTOMATSKO ŠTETJE OSEB S POMOČJO TEHNIK RAČUNALNIŠKEGA VIDA [online]. Bachelor’s thesis. Maribor : A. Valenko. [Accessed 26 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=44267
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Secondary language

Language:English
Title:AUTOMATIC COUNTING PEOPLE BY USING COMPUTER VISION TECHNIQUES
Abstract:The thesis deals with detection and counting of people in motion. A new algorithm for counting people on video has been developed. The algorithm works with images acquired by a webcam. It is based on an average image that is subtracted from the currently acquired image. The subtracted image is further analyzed by computer vision methods for person detection. When a person is detected, it is marked and the person counter is increased. The algorithm has been integrated into a prototype application with an integrated graphical user interface used to present the results. The algorithm has been tested on ten video sequences showing different scenarios of entering and/or leaving individuals into/from room. Detection accuracy of 80% has been obtained, with the average of 0.125 seconds required for the analysis of a single image on an up-to-date personal computer.
Keywords:motion, people detection, people marking, counting, processing digital images and video, images acquired by a webcam


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