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LPR Recognition
Trkal, Ondřej ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
The thesis deals with analysis and design of system for automatic localization and recognition of the license plate. The input images are from different sources, and contain large scenic and weather variations. The aim was to create a system able to find the licence plate on the image and recognize its alphanumeric figure. In this work, there is a focus on analysis and implementation of localization and optical character recognition methods. One own and four other localization methods are compared. There are also compared three classifiers for optical character recognition. Localization and OCR methods are tested on real data and evaluated in accordance with the calculated evaluation parameters. The work also contains sensitivity analysis of the proposed system.
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SMART CAR: Traffic Signs Detection
Brzoza, Martin ; Motlíček, Petr (referee) ; Beran, Vítězslav (advisor)
This bachelor's thesis is concerned about known methods of detection traffic signs in video sequence. In introduction are explained and located main benefits in the light of process speed and accuracy of detection. At the next chapters is designed system for traffic signs detection and classification. In the end is this system tested on prepared testing data and results are evaluated. The work is focused on method Template Matching for classification and color appearance model CieCam97 for detecting candidate areas.
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Voice recognition of standard PILOT-CONTROLLER control commands
Kufa, Tomáš ; Polách, Petr (referee) ; Honzík, Petr (advisor)
The subject of this graduation thesis is an application of speech recognition into ATC commands. The selection of methods and approaches to automatic recognition of ATC commands rises from detailed air traffic studies. By the reason that there is not any definite solution in such extensive field like speech recognition, this diploma work is focused just on speech recognizer based on comparison with templates (DTW). This recognizor is in this thesis realized and compared with freely accessible HTK system from Cambrige University based on statistic methods making use of Hidden Markov models. The usage propriety of both methods is verified by practical testing and results evaluation.
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Detecting Objects in Images
Kubínek, Jiří ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
This work is dedicated to methods used for object detection in images. There is a summary of several approaches and algorithms to solve this matter, especially AdaBoost algorithm with its improvement, WaldBoost and several features used for object detection. Vital part of this work is dedicated to extending training datasets for classifier training and extending the current object detection framework with histogram of gradients features implementation. Integral part of this work is analysis of results by experiments evaluation.
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Pattern Matching in Digital Images
Šramko, Samuel ; Mráček, Štěpán (referee) ; Orság, Filip (advisor)
This work deals with pattern matching in digital images. It describes theoretical presumptions for matching using template matching and SURF algorithms and their following use in solving correspondence problem. Work also describes design, implementation and testing phase of application, which uses aforesaid algorithms written in C++ language with OpenCV and Qt libraries. At the end this thesis describes format of tests and summarize obtained results.
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Automated measurements of body temperature against COVID-19
Roman, Matej ; Lázna, Tomáš (referee) ; Chromý, Adam (advisor)
This thesis focuses on the development of an open source software capable of automatic face detection in an image captured by a thermal camera, followed by a temperature measuring. This software is supposed to aid in the COVID-19 pandemics. The developed software is independent of used thermal camera. In this thesis, I am using TIM400 thermal camera. The implementation of the face detection was achieved by an OpenCV module. The methods tested were Template Matching, Eigen Faces, and Cascade Classifier. The last-mentioned had the best results, hence was used in the final version of the software. Cascade Classifier is looking for the eyes and their surrounding area in the image, allowing the software to subsequently measure the temperature on the surface of one's forehead. One can therefore be wearing a face mask or a respirator safely. The temperature measuring works in real time and the software is able to capture several people at once. It then keeps a record of the temperature of each measured individual as well as the time of the measurement. The software as a whole is a part of an installation file compatible with the Windows operating system. The functionality of this software was tested – the video recordings are included in this thesis.
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Face recognition
Škrobák, Dalibor ; Číka, Petr (referee) ; Kyselý, František (advisor)
This thesis is focused on face detection in static picture. Theoretical part contains color spaces (RGB, HSI, YCbCr), methods for skin detection (explicit, parametric or non-parametric methods), image metric, edge detection, mathematical morphology, methods for classification faces (appearance-based methods, feature invariant approaches, knowledge-based methods, template matching methods). Practical part of this thesis contains concept and practical realization two algorithms for segmentation skin in static image (simple method based on Cr chroma components and statistical method). Practical part contains concept and practical realization two algorithms for classification face (appearance-based method and template matching method) too.
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Calibration of Robotic Workspace
Uhlíř, Jan ; Veľas, Martin (referee) ; Kapinus, Michal (advisor)
This work is concerned by the issue of calibrating a robotic workplace, including the localization of a calibration object for the purpose of calibrating a 2D or 3D camera, a robotic arm and a scene of robotic workplace. At first, the problems related to the calibration of the aforementioned elements were studied. Further, an analysis of suitable methods for performing these calibrations was performed. The result of this work is application of ROS robotic system providing methods for three different types of calibration programs, whose functionality is experimentally verified at the end of this work.
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Re-Identification of Vehicles by License Plate Recognition
Špaňhel, Jakub ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis aims at proposing vehicle license plate detection and recognition algorithms, suitable for vehicle re-identification. Simple urban traffic analysis system is also proposed. Multiple stages of this system was developed and tested. Specifically - vehicle detection, license plate detection and recognition. Vehicle detection is based on background substraction method, which results in an average hit rate of ~92%. License plate detection is done by cascade classifiers and achieves an average hit rate of 81.92% and precision rate of 94.42%. License plate recognition based on Template matching results in an average precission rate of 60.55%. Therefore the new license plate recognition method based on license plate scanning using the sliding window principle and neural network recognition was introduced. Neural network achieves a precision rate of 64.47% for five input features. Low precision rate of neural network is caused by small amount of training sample for some specific license plate characters.
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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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