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Neural Networks for Video Quality Enhancement
Sirovatka, Matej ; Juránek, Roman (referee) ; Hradiš, Michal (advisor)
Cieľom tejto práce je vytvoriť novú metódu super rozlíšenia na zlepšenie kvality videa. Táto metóda je založená na myšlienke použitia deformovateľných konvolučných vrstiev a optického toku na zarovnanie príznakov z viacerých po sebe následujúcích snímkov videa. Táto metóda je následne použitá v neuronovej sieti založenej na U-Net architektúre na predikciu snímkov vo vysokom rozlíšení. Vyhodnotenie je prevedené na datasete obsahujúcom snímky z reálneho života a porovnané s inými metódami. Testované sú rôzne konfigurácie navrhnutej metódy a výsledky sú analyzované. Výsledky experimentov ukazujú sľubné výsledky, pričom model prekonáva bilineárnu interpoláciu a metódy založené na jednom snímku. Testované sú rôzne architektúry modulu zarovnávania príznakov spolu s celou architektúrou U-Net, pričom sa ukazuje, že použitie Vgg19 ako enkóderu dáva najlepšie výsledky.
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Design and implementation of an obstacle avoidance method in an outdoor environment for a mobile robot
Fargač, Tomáš ; Králík, Jan (referee) ; Věchet, Stanislav (advisor)
This thesis focuses on investigating the usability of the optical flow method in image processing. Firstly, this method is introduced theoretically, followed by its mathematical derivation. Subsequently, the idea of implementing it into decision-making algorithms and potential areas of application is presented. The thesis also elaborates on suitable environments for such applications in both virtual and real worlds. The practical part demonstrates the step-by-step development process and the refinement of working with this method and its outputs. The work utilizes the Matlab programming environment and detailed work at the level of individual components in this programming language, enriched with auxiliary toolboxes, especially from the field of computer vision. The entire research is summarized clearly at the end, and all undertaken steps are depicted in a flowchart. Finally, all explored approaches with their strengths and weaknesses, identified throughout the process, are clearly presented.
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Computer Interface Based on User's Head Position
Chmiel, Filip ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
This paper presents the method for a head pose and orientation detection based on computer vision techniques. The method is based on the AdaBoost approach for initial face recognition and the optical flow technique for further object tracking. The detection results are further interpreted and stabilized. The method is designed for usage in designing and building the innovative user interfaces.
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Real Time Suppression of Atmospheric Turbulence
Macků, Jiří ; Orság, Filip (referee) ; Marvan, Aleš (advisor)
This paper deals with removing undesirable image deformations caused by turbulences of Earth's atmosphere. The goal is to design and implement algorithm for suppression of atmosphere turbulence in video sequences to use in long-distance camera monitoring system. This paper also focuses on optimization of existing algorithms for running in real-time. Algorithm will be implemented in C++ programming language with use of library for computer vision OpenCV.
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Distance Measuring by Mobile Phone
Pokorný, Karel ; Zemčík, Pavel (referee) ; Szőke, Igor (advisor)
Target of this thesis is to find out the way to create a mobile phone application, that is capable of meassuring the distance, phone covers above a suitable surface, using integrated camera. Usage of one of motion detection methods is needed to reach the target. Final application uses constant optical flow estimation algorithm. It gives only one value of optical flow between two succeding video frames as a result - movement of whole scene in the picture is assumed. Application was realized for Symbian operating system with S60 3rd Edition user interface. Implementation language is C++.
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SMART CAR: Automatic Car Detection
Burkot, Martin ; Žák, Pavel (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis deals with the detection of moving vehicles in image sequence. In the introduction is made a brief analysis of current methods for detecting the movement of vehicles and the scene in general. In subsequent chapters is designed and described the implementation of the detector moving vehicles in an image based on the determination of optical flow. At the end there review of proposed solution.
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Object Tracking in a Sequence of Images
Švancar, Boris ; Doležel, Michal (referee) ; Orság, Filip (advisor)
The bachelor thesis deals with motion detection and object tracking in video sequence from static and dynamic cameras. The background subtraction method along with using of background updating and Lucas-Kanade optical flow method are introduced in my thesis as well. Both methods are implemented in the test application in the language C++ using OpenCV and Qt libraries and consequently both of them are tested. The results are evaluated in conclusion of the bachelor thesis.
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Videodetection - traffic monitoring
Kozina, Lubomír ; Beszédeš,, Marián (referee) ; Honec, Peter (advisor)
In this master’s thesis on the topic Videodetection - traffic monitoring I was engaged in searching moving objects in traffic images sequence. There are described various methods background model computation and moving vehicles marking, counting or velocity calculating in the thesis. It was created a graphical user interface for traffic scene evaluation in MATLAB.
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