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Face recognition in video sequences
Malach, Tobiáš ; Průša,, Zdeněk (referee) ; Slanina, Martin (advisor)
This thesis deals with design, implementation and testing of face recognition system processing video sequences captured by CCTV systems. The use of Local Binary Pattern Histograms (LPBH) and Nearest Neighbor (NN) classifier was suggested according to the survey of face recognition methods. Discrimination power of LBPH features was examined and individual informative features were searched based on Fisher discrimination ratio and mutual correlation. Cluster’s centorid method was utilized for pattern creation because of its best effect on system’s face recognition capability comparing several proposed methods. Software tool for effective face recognition system algorithms performance testing was developed. Video database IFaViD was assembled for training and performance testing of implemented face recognition system.
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Program for deinterlacing in video sequences of different formats
Jirků, Pavel ; Kratochvíl, Tomáš (referee) ; Slanina, Martin (advisor)
The aim of this thesis is a study of advanced algorithms for removing interlacing in digital video sequences. The first part of the work is devoted to the theory, basic knowledge and processing characteristics using multimedia data. The second part is devoted to displaying the signal using interlaced and progressive spacing. The following part is focused on methods of conversion between the interlaced line spacing and progressive spacing. The last part deals with implementation of the proposed methods. The algorithm is implemented in C++ language, which provides sufficiently fast processing algorithms. The conclusion of work is focused in testing and verification of the implemented algorithms.
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Image Stabilization
Ohrádka, Marek ; Beneš, Radek (referee) ; Číka, Petr (advisor)
This thesis deals with digital image stabilization. It contains a brief overview of the problem and available methods for digital image stabilization. The aim was to design and implement image stabilization system in JAVA, which is designed for RapidMiner. Two new stabilization methods have been proposed. The first is based on the motion estimation and motion compensation using Full-search and Three-step search algorithms. The basis of the second method is the detection of object boundaries. The functionality of the proposed method was tested on video sequences with contain visible shake of the scene, which has beed created for this purpose. Testing results show that with the proper set of input parameters for the object border detection method, successful stabilization of the scene is achieved. The rate of error reduction between images is approximately about 65 to 85%. The output of the method is stabilized image sequence and a set of metadata collected during stabilization, which can be further processed in an environment of RapidMiner.
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Face recognition in video sequences
Malach, Tobiáš ; Průša,, Zdeněk (referee) ; Slanina, Martin (advisor)
This thesis deals with design, implementation and testing of face recognition system processing video sequences captured by CCTV systems. The use of Local Binary Pattern Histograms (LPBH) and Nearest Neighbor (NN) classifier was suggested according to the survey of face recognition methods. Discrimination power of LBPH features was examined and individual informative features were searched based on Fisher discrimination ratio and mutual correlation. Cluster’s centorid method was utilized for pattern creation because of its best effect on system’s face recognition capability comparing several proposed methods. Software tool for effective face recognition system algorithms performance testing was developed. Video database IFaViD was assembled for training and performance testing of implemented face recognition system.
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Image Stabilization
Ohrádka, Marek ; Beneš, Radek (referee) ; Číka, Petr (advisor)
This thesis deals with digital image stabilization. It contains a brief overview of the problem and available methods for digital image stabilization. The aim was to design and implement image stabilization system in JAVA, which is designed for RapidMiner. Two new stabilization methods have been proposed. The first is based on the motion estimation and motion compensation using Full-search and Three-step search algorithms. The basis of the second method is the detection of object boundaries. The functionality of the proposed method was tested on video sequences with contain visible shake of the scene, which has beed created for this purpose. Testing results show that with the proper set of input parameters for the object border detection method, successful stabilization of the scene is achieved. The rate of error reduction between images is approximately about 65 to 85%. The output of the method is stabilized image sequence and a set of metadata collected during stabilization, which can be further processed in an environment of RapidMiner.
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Program for deinterlacing in video sequences of different formats
Jirků, Pavel ; Kratochvíl, Tomáš (referee) ; Slanina, Martin (advisor)
The aim of this thesis is a study of advanced algorithms for removing interlacing in digital video sequences. The first part of the work is devoted to the theory, basic knowledge and processing characteristics using multimedia data. The second part is devoted to displaying the signal using interlaced and progressive spacing. The following part is focused on methods of conversion between the interlaced line spacing and progressive spacing. The last part deals with implementation of the proposed methods. The algorithm is implemented in C++ language, which provides sufficiently fast processing algorithms. The conclusion of work is focused in testing and verification of the implemented algorithms.
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Videosequences and their Application in the Lessons of Physics at the Secondary School Instruction
BLAŽKOVÁ, Petra
The main theme of the thesis is a video sequence, its production and use in physics education at primary and secondary schools. Teaching enriched of short videos is dynamic and illustrative. Students see a situation that could otherwise only read in an austere entry in a textbook example. It is based on the assumption that the demonstration, in addition to teaching, is an appropriate means for obtaining and verification of theoretical knowledge. Moreover, if the children create it themselves, it will be suitable method to develop their skills and creativity, which is as important in the process of learning as knowledge itself.
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