3 research outputs found
Game with Hand Gesture Control
Tato práce je zaměřena na ovládánĂ her pomocĂ gest ruky. Stěžejnà částĂ práce je segmentace obrazu a detekce ruky v obraze. Pro segmentaci obrazu jsou pouĹľity techniky detekce kĹŻĹľe a odeÄŤĂtánĂ pozadĂ s adaptivnĂm modelem pozadĂ. Jsou zmĂnÄ›ny i metody matematickĂ© morfologie pro odstranÄ›nà šumu z obrazu a metody vhodnĂ© pro pĹ™evedenĂ obrazu gesta na charakteristickĂ© vlastnosti gesta v ÄŤĂselnĂ© podobÄ›. V rámci práce byla vytvoĹ™ena jednoduchá hra na tĂ©ma automobilovĂ© závody, která je ovládána pomocĂ gest ruky. Na závÄ›r bylo provedeno testovánĂ s cĂlem zjistit vĂ˝hody a nevĂ˝hody pouĹľitĂ˝ch metod segmentace obrazu za účelem rozpoznánĂ gest ruky. Bylo takĂ© testováno nÄ›kolik sad gest, jejichĹľ prostĹ™ednictvĂm je hra ovládána. Z tohoto testovánĂ vyšly nejĂşspěšnÄ›ji dvÄ› sady gest, kterĂ© jsou pouĹľitelnĂ© v závislosti na kvalitÄ› rozpoznánĂ gesta ruky.This work is focused on controlling the game by using hand gestures. The main part of the work is image segmentation and detection of the hand in picture. For the segmentation of the image are used techniques of skin detection and the background subtraction with adaptive model of the background. Also the methods of mathematical morphology to eliminate the noise from the image and the appropriate methods for transferring images of gestures to characteristic gestures in numerical form are mentioned. In the context of the work was a simple car race game created which is controlled by hand gestures. At the end there was a testing carried out to identify the advantages and disadvantages of used methods of image segmentation and to detect the used hand gestures. There were also several sets of gestures tested by which the game is controlled. The two sets which came out of the test most successfully are applicable depending on the quality of the hand gesture recognition.
Intuitive Interaktion durch videobasierte Gestenerkennung
Hinter der Forschung an videobasierter Handgestenerkennung steht die Vision, Interaktion zwischen Mensch und Computer losgelöst von klassischen Eingabegeräten wie Maus und Tastatur zu realisieren. Das Ziel dieser Arbeit ist die Entwicklung von echtzeitfähigen Verfahren, die eine robuste und fehlerarme Erkennung menschlicher Handgesten realisieren und so die Bedienung eines Computersystems auch für technisch unerfahrene Anwender nutzbar machen. In dieser Arbeit werden vier Verfahren entwickelt, die unterschiedliche Arten der Interaktion durch videobasierte Handgestenerkennung realisieren.The vision behind research on video based hand gesture recognition is to realise a new kind of interaction between humans and computer beyond the classical input devices such as mouse and keyboard. The aim of this thesis is to develop new video based realtime algorithms, which enable a robust and accurate recognition of human hand gestures and allow interaction with the computer even for technically unversed users. In this thesis four different algorithms are developed that can be used for intuitive interaction purposes depending on the demands and needs of different scenario applications