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Ensuring Precision of Stereo Image Processing
Kuník, Oliver ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis deals with the possibilities of refining the results of stereo image processing and examines the methods of stereo image stabilization. Proposes a method of stabilizing the stereo recording with respect to the designated reference stereo image to keep the images in the calibration position of the camera. An affine transformation is used to eliminate the movement of stereo images. The positions of the corner points found with subpixel precision are used for calculating the transformation. This thesis includes a comparison of the stabilization efficiency of a stereo record intended for vehicle speed measurements.
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Efficient Algorithms for Finite Automata
Polanský, Ondřej ; Lengál, Ondřej (referee) ; Holík, Lukáš (advisor)
This thesis compares languages C++, C#, OCaml and Python based on speed, memory requirements and programming comfort. The goal of this thesis is to find out how much does the choice of a certain programming language impact the performance of programs working with finite automata. The same set of basic and advanced automata algorithms was implemented in each language and their efficiency was measured on a sample of 200 finite automata using a unix based operating system. Finally, the author presents results and discusses suitability of each language for work with finite automata. This thesis can help with selecting an appropriate programming language for multitude of purposes, including development of automata algorithm libraries or the process of designing programs and prototypes that work with finite automata.
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Automatic Traffic Video Surveillance: Fine-Grained Recognition of Vehicles and Automatic Speed Measurement
Sochor, Jakub ; Elder, James (referee) ; Svoboda,, Tomáš (referee) ; Herout, Adam (advisor)
V rámci této dizertační práce se zaměřuji na Inteligentní dopravní systémy a Počítačové vidění - především automatické měření rychlosti a rozpoznání automobilů podle typů. Rozpoznání automobilů podle typů je úkol, ve kterém system má predikovat přesný typ (např. Škoda Octavia combi mk2) pro daný obrázek automobilu. Publikoval jsem dva články, které popisují navržený přístup k tomuto problému a tvoří jádro této dizertace. Prezentovaná metoda je založena na 3D obalových kvádrech postavených okolo automobilů, které jsou následně využity pro rozbalení obrázku automobilu do roviny a tudíž normalizaci vstupu neuronové sítě, která dělá následné rozpoznání. Přístup byl dále rozpracován v druhé publikaci, kde je navržena metoda pro určení tohoto 3D obalového kvádru z jediného obrázku - tudíž není nutné mít zkalibrovanou kameru. Experimentální výsledky ukazují, že navržená metoda zlepšuje úspěšnost rozpoznání o 12 procentních bodů - chyba rozpoznání je redukována o 50 procent.Při měření rychlosti má systém za úkol odhadnout rychlost projíždějících aut z videa. Cílem je také, ať měření probíhá plně automaticky bez jakékoli manuální kalibrace. Jelikož neexistoval žádný dataset, který by obsahoval velké množství průjezdů s přesně změřenou rychlostí, tak jsme nejprve takovýto dataset pořídili. Dále jsem navrhnul metodu pro plně automatickou kalibraci dopravní dohledové kamery což umožňuje měřit rychlost automobilů pozorovaných touto kamerou. Metoda je založena na odhadu kalibrace pomocí detekovaných úběžníků scény a následného zarovnání 3D modelů několika běžných typů automobilů. Experimentální výsledky ukazují, že navržená metoda dosahuje průměrné chyby měření rychlosti 1,10 km/h.
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Automatic Traffic Camera Calibration for Vehicle Speed Measurement
Nociar, Marián ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with design and development of a system for Automatic Traffic Camera Calibration for Vehicle Speed Measurement. The thesis contains a theoretical introduction to the camera calibration, describes the principles of the methods used in the implementation and displays the proposed solution that was implemented in Python3 using OpenCV and NumPy libraries. The achieved results were evaluated over the BrnoCompSpeed dataset with the average speed measurement error reaching 6.71 km/h.
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Rules designing roads for skaters
Skalická, Petra ; Bačová,, Katarína (referee) ; Kocourek,, Josef (referee) ; Radimský, Michal (advisor)
The dissertation deals with non-motorized transport. Specifically, it focuses directly on the new non-motorized traffic sector, which is the riders of roller skates. Title of the dissertation The rules for designing roads for skaters were selected from the point of view of unresolved issues. The main goal of the dissertation is to enable the legislative inclusion of skaters as a separate group into the transport hierarchy so that they can gain space for their movement in the transport area. The result should be primarily a reduction in accidents and an increase in road safety for non-motorized vehicles. Other objectives of the thesis include the creation of design parameter tables for methodological instructions based on the analysis of the data obtained by measuring and determining the critical traffic intensity on existing roads. The dissertation summarizes the current issue of non-motorized transport, but especially the issue of skaters transport. It assesses the situation in the Czech Republic compared to the conditions abroad. It explains the physical patterns of the skater's movements, based on which the spatial demands on the used transport space are derived. The following is an overview of selected methods dealing with measurement and evaluation of transport speeds and intensities. Depending on the values found, rules are then created for designing the basic parameters of the skateboard trail network, which includes, for example, traffic sign design and construction requirements.
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Speed Measurement of Vehicles from Surveillance Camera
Jaklovský, Samuel ; Juránek, Roman (referee) ; Sochor, Jakub (advisor)
This master's thesis is focused on fully automatic calibration of traffic surveillance camera, which is used for speed measurement of passing vehicles. Thesis contains and describes theoretical information and algorithms related to this issue. Based on this information and algorithms, a comprehensive system design for automatic calibration and speed measurement was built. The proposed system has been successfully implemented. The implemented system is optimized to process the smallest portion of the video input for the automatic calibration of the camera. Calibration parameters are obtained after processing only two and half minutes of input video. The accuracy of the implemented system was evaluated on the dataset BrnoCompSpeed. The speed measurement error using the automatic calibration system is 8.15 km/h. The error is mainly caused by inaccurate scale acquisition, and when it is replaced by manually obtained scale, the error is reduced to 2.45 km/h. The speed measuring system itself has an error of only 1.62 km/h (evaluated using manual calibration parameters).
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Radar sensors for speed measurements
Doležal, Tomáš ; PhD, Jaroslav Čechák, (referee) ; Kokolia, Martin (advisor)
The main topic of this bachelor thesis is selecting a suitable microwave sensor for measuring the speed of vehicles in regular traffic, while covering multiple road lanes by a suitable method. Furthermore, the optimal one is selected in the form of search, based on the necessary parameters from commercially available radar sensors measuring primary speed. In the next step, simulation is performed for the selected speed sensor in the MATLAB environment, depending on its parameters and the modes in which it can work. The simulation also includes environmental influences on the received signal. There is introduced programmed graphical user interface for simulating a lot of situations on the road for two cars in the next section. Last section summarizes results of real measurement.
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Radar-Based Measurement for Speed Disciplines
Piňos, Michal ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
The aim of this bachelor thesis is radar-based measurement for speed disciplines. For this purpose, the Doppler radar with continuous wave was used, K-MC4 to be specific. Standard signal processing techniques were used to extract the speed information from the radar signal. The key method for obtaining Doppler frequency from signal is Fourier transform. Cosine effect is compensated based on the computed angle.The result of this work is a detector capable of measuring speed and direction of measured objects. Implemented solution also allows the detection of certain objects.
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Radar-Based Measurement for Speed Sport Disciplines
Lach, Martin ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
This thesis is focused on radar speed measurement of sportsmen. The aim is to implement system which determines and visualizes speed of sportsman. The outcome of this work is among other library in C for analysis of radar data. The work deals with explanation of radar. It describes the different types of radars, their functions and characteristics. The following chapter explains the terms important for signal processing. Next are analysis of the problem and description of implementation. At the end of the thesis are tests and evaluation of success.
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