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Title:IGRANJE IGER Z ZAZNAVANJEM GIBANJA GLAVE
Authors:ID Kolarič, Uroš (Author)
ID Potočnik, Božidar (Mentor) More about this mentor... New window
ID Šinjur, Smiljan (Comentor)
Files:.pdf UNI_Kolaric_Uros_2010.pdf (1,06 MB)
MD5: 32FF2A05B7F74F0FD7103A62C240ED04
PID: 20.500.12556/dkum/3f7d1970-1f39-43f1-b458-7090464230b9
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu se ukvarjamo s problemom igranja igre Tetris s pomočjo računalniškega vida. Rezultat diplomskega dela je aplikacija, ki s pomočjo spletne kamere zazna obraz uporabnika računalnika, sledi gibanju obraza in na podlagi zaznanega premika glave proži ustrezno akcijo premika objekta na izbrani računalniški igri. Za rešitev tega problema smo implementirali tri različne metode računalniškega vida, in sicer razliko slik med zaporednimi slikami, spremljanje t.i. optičnega pretoka na sliki, ki zaznava pretok svetlobe ter uporabo klasifikatorja obrazov. Vsaka od teh treh metod je morala zaznati tri različna gibanja. Kot najhitrejša se je izkazala metoda na osnovi slike razlik, a je bila manj robustna kot metoda na osnovi klasifikacije obrazov.
Keywords:optični pretok, zaznava gibanja, razpoznava obraza
Place of publishing:Maribor
Publisher:[U. Kolarič]
Year of publishing:2010
PID:20.500.12556/DKUM-15682 New window
UDC:004.45:004.9(043.2)
COBISS.SI-ID:14764566 New window
NUK URN:URN:SI:UM:DK:RW5ZQEKK
Publication date in DKUM:08.12.2010
Views:2246
Downloads:159
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:PLAYING GAMES BY DETECTING HEAD MOTION
Abstract:We are dealing with the problem of playing the game Tetris by using computer vision in this diploma work. The diploma work result is an application which uses a webcam to detect user’s face. Afterwards, it tracks the face and on basis of detected head motion it triggers corresponding action of object’s move on selected computer game. To solve this problem, we implemented three different computer vision methods, namely difference image between two subsequent images, monitoring the optical flow in the image, which detects the flow of light, and by using face classification. Each of these three methods had to detect three distinct movements. The fastest method pointed out to be the method based on difference image, but it was less robust than a method based on face classification.
Keywords:optical flow, motion detection, face detection


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