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Hand gesticulation recognition in image
Mráz, Stanislav ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master’s thesis is dealing with recognition of an easy static gestures in order to computer controlling. First part of this work is attended to the theoretical review of methods used to hand segmentation from the image. Next methods for hang gesture classification are described. The second part of this work is devoted to choice of suitable method for hand segmentation based on skin color and movement. Methods for hand gesture classification are described in next part. Last part of this work is devoted to description of proposed system.
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Photo Explorer with Leap Motion
Sanitrák, Michal ; Najman, Pavel (referee) ; Zahrádka, Jiří (advisor)
The goal of this thesis was to design and create photo explorer application, which can be controlled by hand gestures using the Leap Motion sensor. Application was implemented in Java programming language using the JavaFX platform. Photo explorer has a clear user interface and can be controlled with hand gestures. The application is multiplatform and can be run on Linux and Windows.
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Automatic recognition of human hand gestures
Olejár, Adam ; Křupka, Aleš (referee) ; Číka, Petr (advisor)
This bachelor thesis is aimed at realization application detecting hand in the video from a webcam. The first section describes the pre-processing options and object detectors based on different methods. Second part of the project talks about cross-platform Java language and useful libraries for project realization. The third section is a summary realization of the assignment.
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Photo Explorer with Leap Motion
Sanitrák, Michal ; Najman, Pavel (referee) ; Zahrádka, Jiří (advisor)
The goal of this thesis was to design and create photo explorer application, which can be controlled by hand gestures using the Leap Motion sensor. Application was implemented in Java programming language using the JavaFX platform. Photo explorer has a clear user interface and can be controlled with hand gestures. The application is multiplatform and can be run on Linux and Windows.
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Automatic recognition of human hand gestures
Olejár, Adam ; Křupka, Aleš (referee) ; Číka, Petr (advisor)
This bachelor thesis is aimed at realization application detecting hand in the video from a webcam. The first section describes the pre-processing options and object detectors based on different methods. Second part of the project talks about cross-platform Java language and useful libraries for project realization. The third section is a summary realization of the assignment.
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Hand gesticulation recognition in image
Mráz, Stanislav ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master’s thesis is dealing with recognition of an easy static gestures in order to computer controlling. First part of this work is attended to the theoretical review of methods used to hand segmentation from the image. Next methods for hang gesture classification are described. The second part of this work is devoted to choice of suitable method for hand segmentation based on skin color and movement. Methods for hand gesture classification are described in next part. Last part of this work is devoted to description of proposed system.
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Image Recognition, Static Hand Gesture Recognition Software
KAPOUN, Jan
This thesis deals with recognition of static hand gestures in a real-time video feed. It is an accompanying paper to the application that I created. Within the framework of this thesis, you will find necessary algorithms for background segmentation and image recognition that were implemented in the application. This thesis also describes problems that I came across when writing the software and also some dead-ends I found when trying to choose the best algorithms. The application source code along with images and a video presentation can be downloaded here: http://jankapoun.own.cz/soft_AI.php
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