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User Interface Based on Kinect
Kapinus, Michal ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The aim of the thesis was to create and evaluate a concept for the design of touchless user interfaces based on Kinect. It describes various devices and methods which are used for creating of the depth map. Furthermore the thesis includes the design of experiments that were used for testing of the speed and the accuracy of Kinect-based interactive kiosks. Results of these experiments are evaluated as well.
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Moving Persons Detection and Tracking
Johanová, Daniela ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
This bachelor's thesis deals with the person detection using RGB-D Microsoft Kinect sensor. Human body detector is based on the method Combohod which uses both color and depth information from Kinect sensor. The aim of the thesis was to create a person detector whose functionality is demonstrated by proposing a statistical application that collects statistical information about the people who passed the shop window. At the end of the thesis the experiments with the detector under varios different conditions are described.
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Gesture Based Human-Computer Interface
Jaroň, Lukáš ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This masters thesis describes possibilities and principles of gesture-based computer interface. The work describes general approaches for gesture control. It also deals with implementation of the selected detection method of the hands and fingers using depth maps loaded form Kinect sensor. The implementation also deals with gesture recognition using hidden Markov models. For demonstration purposes there is also described implementation of a simple photo viewer that uses developed gesture-based computer interface. The work also focuses on quality testing and accuracy evaluation for selected gesture recognizer.
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Robotic Shopping Cart
Kuřátko, Jiří ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
This bachelor’s thesis deals with the project of application about planning the robot’s movement in order to follow the specified person. At the beginning of the work, the Microsoft Kinect sensor which is used for sensing nearby objects is described. Hereinafter the possible methods how to identify human figures on the basis of depth data from the Microsoft Kinect sensor are discussed as well. The reader is also familiar with the methods determining the direction of arrival of acoustic signals. Last chapters of the work are dedicated to the motion control of the robot. Finally the complete implementation of the robot software for the platform of Robotic Operating System (ROS) is described.
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Robotic Shopping Cart
Kuřátko, Jiří ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
This bachelor’s thesis deals with the project of application about planning the robot’s movement in order to follow the specified person. At the beginning of the work, the Microsoft Kinect sensor which is used for sensing nearby objects is described. Hereinafter the possible methods how to identify human figures on the basis of depth data from the Microsoft Kinect sensor are discussed as well. The reader is also familiar with the methods determining the direction of arrival of acoustic signals. Last chapters of the work are dedicated to the motion control of the robot. Finally the complete implementation of the robot software for the platform of Robotic Operating System (ROS) is described.
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|
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User Interface Based on Kinect
Kapinus, Michal ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The aim of the thesis was to create and evaluate a concept for the design of touchless user interfaces based on Kinect. It describes various devices and methods which are used for creating of the depth map. Furthermore the thesis includes the design of experiments that were used for testing of the speed and the accuracy of Kinect-based interactive kiosks. Results of these experiments are evaluated as well.
|
|
|
Moving Persons Detection and Tracking
Johanová, Daniela ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
This bachelor's thesis deals with the person detection using RGB-D Microsoft Kinect sensor. Human body detector is based on the method Combohod which uses both color and depth information from Kinect sensor. The aim of the thesis was to create a person detector whose functionality is demonstrated by proposing a statistical application that collects statistical information about the people who passed the shop window. At the end of the thesis the experiments with the detector under varios different conditions are described.
|
|
|
Gesture Based Human-Computer Interface
Jaroň, Lukáš ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This masters thesis describes possibilities and principles of gesture-based computer interface. The work describes general approaches for gesture control. It also deals with implementation of the selected detection method of the hands and fingers using depth maps loaded form Kinect sensor. The implementation also deals with gesture recognition using hidden Markov models. For demonstration purposes there is also described implementation of a simple photo viewer that uses developed gesture-based computer interface. The work also focuses on quality testing and accuracy evaluation for selected gesture recognizer.
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