National Repository of Grey Literature 156 records found  beginprevious63 - 72nextend  jump to record: Search took 0.01 seconds. 
Document Quality Enhancement
Trčka, Jan ; Zemčík, Pavel (referee) ; Juránek, Roman (advisor)
The aim of this work is to increase the accuracy of the transcription of text documents. This work is mainly focused on texts printed on degraded materials such as newspapers or old books. To solve this problem, the current method and problems associated with text recognition are analyzed. Based on the acquired knowledge, the implemented method based on GAN network architecture is chosen. Experiments are a performer on these networks in order to find their appropriate size and their learning parameters. Subsequently, testing is performed to compare different learning methods and compare their results. Both training and testing is a performer on an artificial data set. Using implemented trained networks increases the transcription accuracy from 65.61 % for the raw damaged text lines to 93.23 % for lines processed by this network.
Unique Car Counting
Uhrín, Peter ; Špaňhel, Jakub (referee) ; Juránek, Roman (advisor)
Current systems for counting cars on parking lots usually use specialized equipment, such as barriers at the parking lot entrance. Usage of such equipment is not suitable for free or residential parking areas. However, even in these car parks, it can help keep track of their occupancy and other data. The system designed in this thesis uses the YOLOv4 model for visual detection of cars in photos. It then calculates an embedding vector for each vehicle, which is used to describe cars and compare whether the car has changed over time at the same parking spot. This information is stored in the database and used to calculate various statistical values like total cars count, average occupancy, or average stay time. These values can be retrieved using REST API or be viewed in the web application.
Canny's Operator and Other Useful Edge Detectors
Janda, Miloš ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
This work introduces main approaches for digital image processing and defines fundamental terms for successful understanding. Main aim is description of several suitable methods used in digital image pre-processing, methods for edge detection and consequent post-processing of these. The final goal of this work is effective implementation and complex comparison of methods for edge detection.
RoboAuto - Car Detection
Melo, Jakub ; Řezníček, Ivo (referee) ; Juránek, Roman (advisor)
This thesis deals with detection and tracking of cars viewed from behind. For the detection, Adaboost algorithm is used. The tracking is done using Kalman filter. In the first part of the work, theoretical background of the object detection and tracking is described. Experiments with classifier training and their results are presented in the second part of the work.
"Fisheye" Camera Projection
Macík, Pavel ; Juránek, Roman (referee) ; Seeman, Michal (advisor)
The thesis describes theoretical fundamentals of optics and problems of ray-tracing method, ray-triangle intersection computation included. Next section describes concept of three different camera models for ray-tracing method - plain camera, pinehole camea and spherical camera (fish-eye). The thesis comparse properties and capabilities of camera models and their effect to projected image of a scene. The program for raytracing was implemented for purposes of the thesis including implementation of camera models described in the thesis.
Detection, Tracking and Classification of Vehicles
Vopálenský, Radek ; Sochor, Jakub (referee) ; Juránek, Roman (advisor)
The aim of this master thesis is to design and implement a system for the detection, tracking and classification of vehicles from streams or records from traffic cameras in language C++. The system runs on the platform Robot Operating System and uses the OpenCV, FFmpeg, TensorFlow and Keras libraries. For detection cascade classifier is used, for tracking Kalman filter and for classification of the convolutional neural network. Out of a total of 627 cars, 479 were tracked correctly. From this number 458 were classified (trucks or lorries not included). The resulting system can be used for traffic analysis.
Image Transformations
Novák, Radim ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
The main goal of this thesis is to introduce two fundamental geometric transformations in 2D space - by changing the resolution together with related image resampling and image rotation. Also brightness interpolation, technique of mapping and other problems related to the topic are explained there, i.e. Fourier transformations, problem with aliasing and technique of aliasing suppression.
Multiview Object Detection
Lohniský, Michal ; Beran, Vítězslav (referee) ; Juránek, Roman (advisor)
This thesis focuses on modification of feature extraction and multiview object detection learning process. We add new channels to detectors based on the "Aggregate channel features" framework. These new channels are created by filtering the picture by kernels from autoencoders followed by nonlinear function processing. Experiments show that these channels are effective in detection but they are also more computationally expensive. The thesis therefore discusses possibilities for improvements. Finally the thesis evaluates an artificial car dataset and discusses its small benefit on several detectors.
Detection of Television Advertisement
Turoň, Michal ; Juránek, Roman (referee) ; Láník, Aleš (advisor)
This thesis deals with detection of television adverisement in recorded streams from TV cards, or other recorded high-quality videos. It provides a view and compares different technics, how to solve this problem. My solution uses only OpenSource tools and libraries, such as OpenCV. Moreover the thesis describes the implementation of application and its further testing.
Physical Simulation of a Cloth
Řehánek, Martin ; Juránek, Roman (referee) ; Navrátil, Jan (advisor)
This bachelor's thesis concerns with simulation of material in real time. By material we mean the textile. Firstly, it will explains principle of simulation in textile, where the system of springs is used. Secondly, it will explains mathematical and physical basics needed for simulation and then describes implementation of simulation itself. In a final part the achieved results are evaluated.

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