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iPhone Application for Number Plate Recognition
Sládeček, Roman ; Dvořák, Radim (referee) ; Procházka, Boris (advisor)
This thesis talks about theoretical and practical side of development of application for Apple iPhone mobile cell phone and for its operating system called iOS. In theoretical part are contained informations about history of this device, about tools for creating application for this mobile platform and there is shortly sketched procedure and process how the application is deployed into the phone. Next part deals with the licence number plates, their signification and integrity restrictions. Main core of whole thesis is a practical part about creation and implementation mobile application for recognition of that number plates with supporting of built-in camera and its consecutive text representation or manipulation with that data. In the final part there is a review of results which this application brings after testing and experimenting in different conditions.
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Face Recognition
Kopřiva, Adam ; Hradiš, Michal (referee) ; Chmelař, Petr (advisor)
This master's thesis considers methods of face recognition. There are described methods with different approachs: knowledge-based methods, feature invariant approaches, template matching methods and appearance-based methods. This master's thesis is focused particulary on template matching method and statistical methods like a principal component analysis (PCA) and linear discriminant analysis (LDA). There are described in detail template matching methods like active shape models (ASM) and active appearance models (AAM).
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User Hand Detection in Depth Data
Malík, Pavol ; Šimon, Martin (referee) ; Beran, Vítězslav (advisor)
The aim of this thesis is to detect hand of user above the interactive table and show its position with respect to the table. Used sensor was Kinect so the depth data approach was selected. The detection is realized using registration method SAC-IA, which works on the template matching principle. Thesis deals with existing solutions of hand detection as well as procedure used in this work. Dataset was defined, containing hand templates and testing scenes, from which the classifier was evaluated. Final testing was performed on more than a hundred objects and the success rate reached 82 %.
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Search of Corresponding Objects in a Pair of Images
Vrbenský, Andrej ; Herman, David (referee) ; Orság, Filip (advisor)
This thesis is aimed on area of stereoscopy. At first, there is some space dedicated to stereoscopic theory, primarily to seaching of corresponding objects in a stereo image pair. Main attention is given to template matching methods, which are based on intesity comparison. Then we try to optimize these methods with SIMD SSE instructions and run some tests with image examples. These methods are implemented in C++ and also in assembly language.
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Learning Detectors by Tracking
Buchtela, Radim ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
This thesis is devoted to learn detectors by object tracking in video sequence. In this thesis, we discuss methods for object tracking, object detection and online learning and possibilities of their using in sophisticated techniques, which combine object tracking and online learning detectors.
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Tracking of Military Objects in a Videosignal
Hamada, Ondřej ; Váňa, Jan (referee) ; Orság, Filip (advisor)
First part of this thesis briefly describes the main problems of object tracking in video and methods to deal with them. Main attention is paid towards usage of these methods for target tracking in videos taken by both normal and thermal camera. It propose solution to this problem based on the kernel-based method which uses mean-shift algorhitm and on the template matching. Both tracking methods results are supervised and corrected by Kalman filter. Proposed solution is implemented using C++ with OpenCV library.
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Optical measurement system
Opravil, Jan ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This diploma thesis deals with the creation and testing of optical measurement system. There are basic parts of computer vision. Some ways of image preprocessing and templates matching are discussed. Everything is directed to a particular practical task. Selected methods for templates matching are the Correlation Method, the Classical and Hybrid Hausdorff Distance, Radial and Circular Sampling Space. These methods are programmed in C++ and they are compared with function for searching templates from specific library.
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Static model of scene
Sikora, Jan ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This thesis deal with various methods of background detection and with it related motion detection in a scene. It's progressing from simplest methods to more comlex. For every one are reviewed the possibilities of using and her drawbacks. In introduction are described various types of scenes according to background and foreground type e.g . according to movement objects speed or presence of movement in background. Is proposed several common or specific improvements for obtaining better background even by using simple method. Next part of work solve real situation of shaking camera. There are tested two basic methods for optical stabilization. The first is registration of images by template matching. Alternative method used interest points (corners). Both methods are closely examinate and is sought best way to match following pictures. Except shaking of camera this work deal with rotating camera and in theory solve detection background from cameras placed on ridden car. Part of work is creation database of different types scenes
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Automatic Forms Validation with RPA
Rákoczy, Filip ; Heriban, Pavel (referee) ; Dobrovský, Ladislav (advisor)
Následující text se zabývá otázkou automatizovaného testování uživatelských rozhraní aplikací pro Windows. Konkrétně tato práce navrhuje samostatné softwarové řešení napsané v jazyce Python, které nahrazuje existující software SikuliX pro testování uživatelských rozhraní elektronových mikroskopů v Thermofisher Scientific. Tato práce diskutuje o výhodách a implementačnách detailech tohoto nového řešení a jsou navrženy další možné způsoby rozšíření tohoto softwaru. Výsledky jsou testovány na různých aplikacích, včetně aplikace pro řízení mikroskopu xT od společnosti Thermofisher scientific.
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Evaluation of Target Shooting by Computer Vision
Gregorová, Jana ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
Cílem této práce je aplikace, která bude v reálném čase automaticky vyhodnocovat skóre střelby na terč ze střelné palné zbraně pomocí kamery připojené k počítači. Střelec tak bude mít možnost sledovat výsledky střelby přímo ze střeleckého stanoviště i během střelby. Výsledná aplikace zpracovává vizuální data z kamery, která sleduje terč. Terč a plochy na tomto terči s různým skóre jsou detekovány automaticky. Obraz z kamery je stabilizován pomocí křížové korelace a nové zásahy jsou detekovány v masce popředí. Výsledkem této práce je aplikace, která zefektivňuje trénink sportovní střelby.
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