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Axle detection in the weighing vehicle system
Mičulka, Martin ; Klečka, Jan (referee) ; Šedivá, Soňa (advisor)
This master's thesis deals with the Weight in Motion systems (WIM). The main goal is to create simulation software that detects dual tires assembly with respect to the angle with which the sensor is embedded into the road. Thesis also contains literature search of available solutions of weighing systems and the sensors which are used in these systems. Subsequently, the thesis contains software for recognizing simple assembly or dual tires assembly from real measured data. Software solutions were developed using programming language Python v3.7. All source codes were developed in PyCharm Community Edition 2020.
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3D model from multiview
Zemčík, Tomáš ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
Reconstruction of 3D model from multiple view images allows us to perform a contactless measurement of real world objects. This work contains theoretical and mathematical background necessary for understanding problems of 3D reconstruction. It also proposes possible hardware and software solutions for the task of measuring a hood with EEG sensors while on patients head.
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Authentication with RFID tags
Klečka, Jan ; Dzurenda, Petr (referee) ; Malina, Lukáš (advisor)
The bachaleror thesis deals with issue of RFID elements and authentication systems used by elements of RFID and chip cards. The basic differences between active and passive RIFD tags are decsribed. The thesis describes basic attacks which can threat communication between reader and RFID device in wireless comunication. In the thessis is included measuring of passive RFID tags. Results of the measurement are presented by tables and graphs. Main goal of this thesis aims at the implementation of the authentication protocol which is mainly for processor cards. Because of the processor we can use cryptography where is neccessary computing power. We can ensure secure data transfer and authentication. The thesis describes 2 schemes of one authentication protocol, which were modificated for BasicCard Enviroment. In the first scheme client(card) authenticate to the terminal using secure AES 256 bit data transfer and verifier is the terminal side. Data which needs to be exchanged is secured by AES 256 bit. In the second scheme the card side is a verifier and the card generates such data to verify that the other party is able to authenticate.
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Vehicle classification
Fiala, Václav ; Klečka, Jan (referee) ; Honec, Peter (advisor)
This thesis deals with recognition of vehicles with image captured by one camera. The image is always taken as a front view of a vehicle passing one specific place in case of various lighting conditions. The aim is to implement classification method with regard to robustness, reliability and computional complexity. The method is implemented in Mircosoft Visual Studio 2013 using the OpenCV library.
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3D reconstruction from multiple views
Sládeček, Martin ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
This thesis deals with the task of three-dimensional scene reconstruction using image data obtained from multiple views. It is assumed that intrinsic parameters of the utilized cameras are known. The theoretical chapters describe the basic priciples of individual reconstruction steps. Variuous possible implementaions of data model suitable for this task are also described. The practical part also includes a comparison of false keypoint correspondence filtering, implementation of polar stereo rectification and comparison of disparity map calculation methods that are bundled with the OpenCV library. In the final portion of the thesis, examples of reconstructed 3D models are presented and discussed.
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Automatic calculation of relative orientation of two cameras
Adámek, Daniel ; Nováček, Petr (referee) ; Klečka, Jan (advisor)
To determine a relative orientation of two cameras, it is necessary to understand wide range of fields. Therefore, this thesis showes principles of basic methods of detection and description of keypoints in an image as well as methods of matching these keypoints. The paper also provides brief summary of epipolar geometry and linear triangulation. C++ implementation of presented theory was proposed and its disadvantages were discussed.
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Vehicle classification using inductive loops sensors
Halachkin, Aliaksei ; Klečka, Jan (referee) ; Honec, Peter (advisor)
This project is dedicated to the problem of vehicle classification using inductive loop sensors. We created the dataset that contains more than 11000 labeled inductive loop signatures collected at different times and from different parts of the world. Multiple classification methods and their optimizations were employed to the vehicle classification. Final model that combines K-nearest neighbors and logistic regression achieves 94\% accuracy on classification scheme with 9 classes. The vehicle classifier was implemented in C++.
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Visual Object Tracking in Realtime
Kratochvíla, Lukáš ; Klečka, Jan (referee) ; Horák, Karel (advisor)
Sledování obecného objektu na zařízení s omezenými prostředky v reálném čase je obtížné. Mnoho algoritmů věnujících se této problematice již existuje. V této práci se s nimi seznámíme. Různé přístupy k této problematice jsou diskutovány včetně hlubokého učení. Představeny jsou reprezentace objektu, datasety i metriky pro vyhodnocování. Mnoho sledovacích algorimů je představeno, osm z nich je implementováno a vyhodnoceno na VOT datasetu.
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