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Ground Vehicle Control by User Gestures
Chlud, Michal ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
This bachelor's work is focused on basic methods leading to successful gesture recognition in video sequence using standard RGB camera. Key steps required for hand classification are described, mainly segmentation of input video based on skin color model. Next there are discussed methods for object tracking and gesture analysis. Main goal of this work is to demonstrate this knowledge by creating application which controls robot's movement by hand gesture analysis. Solution is proposed and individual implementation steps are described.
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Simple Gesture Recognition
Verner, Jan ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
This bachelor thesis describes usability of DTW algorithm and it's variants for simple hand gesture detection. It recapitulates actual situation and findings in branch of computer vision and aims on methods for hand gesture recognition and common description of DTW algorithm.
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Gesture Recognition
Svoboda, Tomáš ; Mlích, Jozef (referee) ; Hradiš, Michal (advisor)
This Bachelor's thesis is engaged in recognition hand gestures. The advantages and disavantages of various color models for skin color detection are discussed here. Skin is detected by look-up table. Look-up table is created from histogram of skin color and optional from Gaussian distribution, whose parameters are estimated from histogram. Hidden Markov models are used for gesture classification. The HTK toolkit have been used for working with the models. Own decoder of Hidden Markov models based on Viterbi algorithm was created for real-time gesture recognition. Several experiments were accomplished with data sets for 4 gestures. The results of the experiments are very good.
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Game with Hand Gesture Control
Baštek, Jozef ; Žák, Pavel (referee) ; Hradiš, Michal (advisor)
This paper is intended for computer vision usage as a way of human-computer interacion. It covers design and implementation of interface for game controlling by hand gestures and movements, that are captured by camera. It describes and evaluates image segmentation algorithms (background subtraction, thresholding, Bayes' theorem, gaussian model) as well as hand gesture classification algorithms (knowledge-based classification, Hu invariant moments and K-nearest neighours). Implementation includes machanical contruction of camera holder and 3D FPS game as a interface usage demonstration.
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Ground Vehicle Control by User Gestures
Chlud, Michal ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
This bachelor's work is focused on basic methods leading to successful gesture recognition in video sequence using standard RGB camera. Key steps required for hand classification are described, mainly segmentation of input video based on skin color model. Next there are discussed methods for object tracking and gesture analysis. Main goal of this work is to demonstrate this knowledge by creating application which controls robot's movement by hand gesture analysis. Solution is proposed and individual implementation steps are described.
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|
|
Simple Gesture Recognition
Verner, Jan ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
This bachelor thesis describes usability of DTW algorithm and it's variants for simple hand gesture detection. It recapitulates actual situation and findings in branch of computer vision and aims on methods for hand gesture recognition and common description of DTW algorithm.
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Hand Computer Controlling
Matějíčka, Miloš ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
Bachelor's thesis is engaged in computer control with simple one hand gestures. There is described principal of hand detection by skin color recognition, processing and classification of hand gestures. The thesis includes implemented application for hand gesture recognition from video. For work with video library OpenCv is used.
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Game with Hand Gesture Control
Baštek, Jozef ; Žák, Pavel (referee) ; Hradiš, Michal (advisor)
This paper is intended for computer vision usage as a way of human-computer interacion. It covers design and implementation of interface for game controlling by hand gestures and movements, that are captured by camera. It describes and evaluates image segmentation algorithms (background subtraction, thresholding, Bayes' theorem, gaussian model) as well as hand gesture classification algorithms (knowledge-based classification, Hu invariant moments and K-nearest neighours). Implementation includes machanical contruction of camera holder and 3D FPS game as a interface usage demonstration.
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|
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Gesture Recognition
Svoboda, Tomáš ; Mlích, Jozef (referee) ; Hradiš, Michal (advisor)
This Bachelor's thesis is engaged in recognition hand gestures. The advantages and disavantages of various color models for skin color detection are discussed here. Skin is detected by look-up table. Look-up table is created from histogram of skin color and optional from Gaussian distribution, whose parameters are estimated from histogram. Hidden Markov models are used for gesture classification. The HTK toolkit have been used for working with the models. Own decoder of Hidden Markov models based on Viterbi algorithm was created for real-time gesture recognition. Several experiments were accomplished with data sets for 4 gestures. The results of the experiments are very good.
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