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Tracking People in Video Captured from a Drone
Lukáč, Jakub ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Práca rieši možnosť zaznamenávať pozíciu osôb v zázname z kamery drona a určovať ich polohu. Absolútna pozícia sledovanej osoby je odvodená vzhľadom k pozícii kamery, teda vzhľadom k umiestneniu drona vybaveného príslušnými senzormi. Zistené dáta sú po ich spracovaní vykreslené ako príslušné cesty v grafe. Práca si ďalej dáva za cieľ využiť dostupné riešenia čiastkových problémov: detekcia osôb v obraze, identifikácia jednotlivých osôb v čase, určenie vzdialenosti objektu od kamery, spracovanie potrebných senzorových dát. Následne využiť preskúmané metódy a navrhnúť riešenie, ktoré bude v reálnom čase pracovať na uvedenom probléme. Implementačná časť spočíva vo využití akcelerátoru Intel NCS v spojení s Raspberry Pi priamo ako súčasť drona. Výsledný systém je schopný generovať výstup o polohe detekovaných osôb v zábere kamery a príslušne ho prezentovať.
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Displaying Virtual Graphics and Animations for Sports Analysis
Očenáš, Daniel Miloslav ; Zemčík, Pavel (referee) ; Beran, Vítězslav (advisor)
The aim of this bachelor thesis is to create graphic tools used for the analysis of video recordings of sports events, especially football matches. The user can use the tools to highlight selected football players, which are further tracked and highlighted with three-dimensional objects rendered into video scene. Secondly, user can manually create pointed arrows representing player or football movement. Three-dimensional objects are created by perspective distortion corresponding with the scene taken by camera. The theoretical part focuses on the proper rendering of graphical objects into calibrated scene. The practical part focuses on implementation and visualization of mentioned tools by using OpenGL library.
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Machine vision for locating objects
Hasík, Dávid ; Huzlík, Rostislav (referee) ; Vetiška, Jan (advisor)
The bachelor’s thesis deals with design of machine vision system for object localization and its application possibilities. Design approach, its components and their individual advantages and disadvantages for this type of machine vision system are described. This thesis also includes simple model of machine vision system for object localization using regular PC. For image processing is used Vision Assistant and its tools. Two scripts are made in this software and their performance is compared.
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Applications of Ant Algorithms
Kaščák, Imrich ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
The presented thesis focuses on the basic optimization algorithm of Ant Colony Optimization (ACO) - Ant System (AS) and its extension, Ant Colony System (ACS) on Traveling Salesman Problem (TSP). The essence of these algorithms is to find the optimal solution (the shortest path) in a specified instance containing several locations. The thesis demonstrates verification of behaviour of both algorithms, experimental study of impact of adjustable parameters of ant algorithms on result. Furthermore, the thesis is focused on examining the idea of optimizing detection of image edges by introducing a modification into an existing solution. Modified solution experiments are performed and compared to the original.
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Measurement of complicated shape parts using image processing
Sujová, Sára ; Březina, Michal (referee) ; Štětina, Josef (advisor)
The bachelor's thesis deals with the topic of wear measurement of the pinion gear of the REA actuator used in the regulation of the turbocharger wastegate system. The first theoretical part of the thesis describes the topics of wastegates, actuators, gears and optical methods. In the second part, a pinion measurement method is implemented using a digital microscope and an application to measure the width of the pinion tooth thickness designed in the MATLAB environment.
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Object detection
Baáš, Filip ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This bachelor thesis deals with detection of rigid objects in images. Chamfer matching algorithm, which is built for this kind of tasks is used as detection algorithm. First part of this work is dedicated to theoretical explanation of the algorithm. Most commonly used metrics of distance transform are explained, which is needed for the algorithm. Also explanation of chamfer distance calculation and pyramid representation of information is here. Next part is dedicated to development tools used in this work, which is integrated development environment Visual Studio and libraries OpenCV for image processing and Qt for graphical user interface creation. In last part of this work, practical implementation of object detection is described. This part explains the way objects are rendered, steps for creating a template from rendered image, method to create set of templates, comparison of speed of distance transformation calculation in different metrics, comparison of speed of common and pyramid detection and method of score calculation. The conclusion summarizes reached goals of this work.
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Decoding Barcode in Image in Real Time
Krupa, Martin ; Kajan, Rudolf (referee) ; Herout, Adam (advisor)
The goal of this thesis is to describe barcodes used in real world applications and to create application for real time detecting and decoding of chosen barcodes using computer vision. Normal linear barcode is first introduced, and then two dimensional matrix barcode is described with focus on its origin, usage and structure. Especially the process of localization, encoding and decoding of QR Code, which is chosen for future use in work, is described mainly. Also briefly description of computer vision and OpenCV library is available. Next the concept and implementation of application for localization and recognition of QR Codes is described. Finally description of testing, evaluation of thesis and ways of improvements are discussed.
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Synthetic Dataset Generator for Traffic Analysis
Svoreň, Ondrej ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
This bachelor thesis deals with the creation and customization of synthetic dataset genera tor for traffic analysis. It focuses on traffic analysis by means of computer vision, methods and conditions of creating the generator of synthetic dataset, possible application of achie ved results in machine learning and additional development opportunities. Using available automobile photographs from the Czech Republic, Slovakia, Poland and Hungary, a synthe tic license plate number generator was created, which, after graphical adjustment and after joining with the vehicle photographs creates the resulting dataset for machine learning. The solution itself is divided into the three scripts written in Python using the OpenCV library. The resulting dataset serves as an input for the machine learning system to re-identify the license plate numbers from photographs captured in the flow of traffic.
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Real-Time Liquid Lens Focusing
Zaťovič, Martin ; Drahanský, Martin (referee) ; Rydlo, Štěpán (advisor)
Rýchlosť zaužívaného prístupu k zaostrovaniu kamerových systémov naráža na úzke hrdlo - mechanický pohyb motora, ktorý mení vzdialenosť šošovky od obrazového snímača kamery. Technológia tekutej šošovky sľubuje riešenie tohto problému elimináciou potreby mechanického pohybu. Systémy ktoré ju využívajú sú teda podstatne zrýchlené. Cieľom tejto práce je potvrdenie, alebo vyvrátenie týchto tvrdení a v prípade ich potvrdenia zistiť do akej miery je tekutá šošovka schopná zrýchliť systémy, ktoré ju využívajú. Pre testovanie zrýchlenia implementujeme automatické zaostrenie na základe spracovania obrazu a spustíme ho na kamerových systémoch, ktoré využívajú tekutú a elektromechanickú šošovku. Automatické zaostrovanie na základe spracovania obrazu počíta skóre ostrosti zhotovených obrázkov a hľadá jeho maximum pri rôznych hodnotách zaostrenia.
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