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Národní úložiště šedé literatury Nalezeno 4 záznamů.  Hledání trvalo 0.00 vteřin. 
Monitoring of human body in videosequence
 Plačko, Michal ; Šmirg, Ondřej (oponent) ; Číka, Petr (vedoucí práce)
This thesis deals with human body detection and gestures tracking in videosequences. First, processing of videosequences in general is described. Further, different methods of human body detection are described and represented by significant papers. The most of the attention is focused on detection by real AdaBoost algorithm based on Haar-like features and Edgelet features. The practical part starts with selection of method that is implemented in this thesis. This method is detection by real AdaBoost based on Haar-like features. Further, different options of videosequence processing in JAVA are researched with justification of choice OpenCV library with JavaCV wrapper, which is used in this thesis. In the end, application itself is described, including description of GUI and description of each class and its functionality.
Úplný záznam
Real-time digital simulation of guitar audio effects
 Plačko, Michal ; Balík, Miroslav (oponent) ; Mačák, Jaromír (vedoucí práce)
The aim of this work is to study different methods for simulation guitar effects, especially SSMN method. Then write a correctly algorithm for this method in Matlab and apply it on different circuits. Correctly algotirhm implemented in the C++ and adapt to work in real-time.
Úplný záznam
Real-time digital simulation of guitar audio effects
 Plačko, Michal ; Balík, Miroslav (oponent) ; Mačák, Jaromír (vedoucí práce)
The aim of this work is to study different methods for simulation guitar effects, especially SSMN method. Then write a correctly algorithm for this method in Matlab and apply it on different circuits. Correctly algotirhm implemented in the C++ and adapt to work in real-time.
Úplný záznam
Monitoring of human body in videosequence
 Plačko, Michal ; Šmirg, Ondřej (oponent) ; Číka, Petr (vedoucí práce)
This thesis deals with human body detection and gestures tracking in videosequences. First, processing of videosequences in general is described. Further, different methods of human body detection are described and represented by significant papers. The most of the attention is focused on detection by real AdaBoost algorithm based on Haar-like features and Edgelet features. The practical part starts with selection of method that is implemented in this thesis. This method is detection by real AdaBoost based on Haar-like features. Further, different options of videosequence processing in JAVA are researched with justification of choice OpenCV library with JavaCV wrapper, which is used in this thesis. In the end, application itself is described, including description of GUI and description of each class and its functionality.
Úplný záznam

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