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Title:REALNOČASOVNA METODA SLEDENJA OBRAZA V DIGITALNEM ZAPOREDJU SLIK NA PODLAGI INFORMACIJ O BARVI KOŽE IN PRIMERJAVA Z METODO VIOLA-JONES
Authors:ID Frangež, Mitja (Author)
ID Zazula, Damjan (Mentor) More about this mentor... New window
ID Potočnik, Božidar (Comentor)
Files:.pdf UN_Frangez_Mitja_2016.pdf (3,27 MB)
MD5: 9661DEED2730A90BA79A4F8A278FFE4A
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo se ukvarjali z realnočasovno metodo sledenja obraza v digitalnem zaporedju slik na podlagi barve kože. Predstavili smo obstoječe metode za lokaliziranje obrazov. Izdelali in preizkusili smo metodo, ki v realnem času poišče obrazno regijo in ji sledi skozi zaporedje slik. V metodi najprej podvzorčimo slike, s čimer zmanjšamo časovno zahtevnost metode, sledi iskanje področja, kjer je prišlo do spremembe na slikah iz zaporedja. Zatem poiščemo potencialne obrazne regije, jih dodatno obdelamo, označimo in prikažemo. Delovanje metode smo preverili z 20 testnimi skupinami slik, ki smo jih zajeli med eksperimentom. Natančnost zaznavanja smo primerjali z metodo Viola-Jones. Eksperimentalni rezultati so pokazali, da je naš algoritem glede na metrike, ki smo jih uporabili, uspešen. Naša metoda je za obdelavo ene slike potrebovala v povprečju 37,72 ms, medtem ko je za obdelavo ene slike metoda Viola-Jones potrebovala 79,81 ms. Dobljeni rezultati so se pokazali kot zelo obetavni. Z izboljšavami bi lahko bila naša metoda uporabna tudi v realnih situacijah.
Keywords:digitalna obdelava slik, zaporedje slik, zaznava obrazov, sledenje obrazu, barva kože, algoritem Viola-Jones
Place of publishing:Maribor
Publisher:[M. Frangež]
Year of publishing:2016
PID:20.500.12556/DKUM-57822 New window
UDC:004.932.021:004.031.43(043.2)
COBISS.SI-ID:19488022 New window
NUK URN:URN:SI:UM:DK:EBMPP0SW
Publication date in DKUM:07.04.2016
Views:1698
Downloads:142
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
FRANGEŽ, Mitja, 2016, REALNOČASOVNA METODA SLEDENJA OBRAZA V DIGITALNEM ZAPOREDJU SLIK NA PODLAGI INFORMACIJ O BARVI KOŽE IN PRIMERJAVA Z METODO VIOLA-JONES [online]. Bachelor’s thesis. Maribor : M. Frangež. [Accessed 23 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=57822
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Secondary language

Language:English
Title:REAL-TIME FACE TRACKING METHOD IN A SEQUENCE OF DIGITAL IMAGES ON THE BASIS OF SKIN COLOUR INFORMATION AND COMPARISON WITH VIOLA-JONES METHOD
Abstract:In this thesis, we deal with real-time face tracking method in a digital image sequence based on the skin colour. We survey the existing methods for the localization of faces. We implemented and tested a method that searches and follows the facial region through a sequence of images in real time. The method sub-samples the images first, which reduces the method’s time complexity, and searches for the changes in image sequence afterwards. Found potential facial region are pre-processed, labelled, and displayed. The method’s efficiency was checked by 20 groups of test images captured in the experiment. Its accuracy was compared to the Viola-Jones method. Experimental results showed that our algorithm produces satisfactory detections according to the metrics used. The processing time of our method yields 37.72 ms for one image, on average, while the processing of one image by the Viola-Jones method requires 79.81 ms. The results obtained have proved very promising. With improvements, our method can also be used in real situations.
Keywords:digital image processing, image sequence, face detection, face tracking, skin colour, algorithm Viola-Jones


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