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Mobile robot in smart house
Kuparowitz, Tomáš ; Burian, František (referee) ; Petyovský, Petr (advisor)
Aim of this thesis is to search the market for suitable autonomous robot to be used by smart house. The research in this work is partly done on the range of abilities of smart houses in matter of sensor systems, ability of data processing and their use by mobile robots. The output of this thesis is robotics application written using Microsoft Robotics Developer Studio (C#) and simulated using Visual Simulation Environment. Main feature of this robotic application is the interface between robot and smart house, and robot and user. This interface enables employer to directly control robot's movement or to use automated pathfinding. The robot is able to navigate in dynamic environment and to register, interact and eventually forget temporary obstacles.
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Camera stereo-pair for object tracking in 3D
Manga, Marek ; Richter, Miloslav (referee) ; Babinec, Tomáš (advisor)
The first part deals with a design of simple pattern system that would allow tracking position of the object in space. There is described design of patterns and their properties are evaluated in several tests. The second part is devoted to a brief introduction on stereovision and calculation of the spatial coordinates of the object. Furthermore, there is described the resulting application for object tracking. Finally, is done repeabillity measure test.
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Biologically Inspired Methods of Object Recognition
Truhlář, Martin ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This document describes a method for biologically inspired pattern recognition. Furthermore, it explains the process of image processing and various stages of information extraction for classification. Support Vector Machine method is used for classification, but there are other classification methods explained. It explains how to test and work with the method itself. Results for each model set of classifiers and their advantages and disadvantages are summarized in the conclusion.
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Barcode recognition system
Pribula, Wojciech ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This thesis describes barcodes which are used in postal services. Specifically, it is concerned with Intelligent Mail Barcode, the GS1-128 code, the C128 code of Ceska posta (Czech Postal Services) and the QR code. The thesis attempts to analyze methods of encoding information into barcodes and error detection algorithms used for error correction during the decoding processes. Most importantly, there is described Reed-Solomon error correction in the QR code. There are presented and evaluated different methods of code detecting which are suggested by authors of various academic articles. The thesis also describes the method of creating test sets of images and proposed appearances of the scanning scene. Additionally, there are described algorithms for detection and decoding barcodes GS1-128, C128 and IMB in the image which was created during the work on this thesis. Finally, there is the evaluation of the percentage success of algorithms.
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Detection of Logopaedic Defects in Speech
Pešek, Milan ; Smékal, Zdeněk (referee) ; Atassi, Hicham (advisor)
The thesis deals with a design and an implementation of software for a detection of logopaedia defects of speech. Due to the need of early logopaedia defects detecting, this software is aimed at a child’s age speaker. The introductory part describes the theory of speech realization, simulation of speech realization for numerical processing, phonetics, logopaedia and basic logopaedia defects of speech. There are also described used methods for feature extraction, for segmentation of words to speech sounds and for features classification into either correct or incorrect pronunciation class. In the next part of the thesis there are results of testing of selected methods presented. For logopaedia speech defects recognition algorithms are used in order to extract the features MFCC and PLP. The segmentation of words to speech sounds is performed on the base of Differential Function method. The extracted features of a sound are classified into either a correct or an incorrect pronunciation class with one of tested methods of pattern recognition. To classify the features, the k-NN, SVN, ANN, and GMM methods are tested.
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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Camera stereo-pair for object tracking in 3D
Manga, Marek ; Richter, Miloslav (referee) ; Babinec, Tomáš (advisor)
The first part deals with a design of simple pattern system that would allow tracking position of the object in space. There is described design of patterns and their properties are evaluated in several tests. The second part is devoted to a brief introduction on stereovision and calculation of the spatial coordinates of the object. Furthermore, there is described the resulting application for object tracking. Finally, is done repeabillity measure test.
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Biologically Inspired Methods of Object Recognition
Truhlář, Martin ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This document describes a method for biologically inspired pattern recognition. Furthermore, it explains the process of image processing and various stages of information extraction for classification. Support Vector Machine method is used for classification, but there are other classification methods explained. It explains how to test and work with the method itself. Results for each model set of classifiers and their advantages and disadvantages are summarized in the conclusion.
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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Barcode recognition system
Pribula, Wojciech ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This thesis describes barcodes which are used in postal services. Specifically, it is concerned with Intelligent Mail Barcode, the GS1-128 code, the C128 code of Ceska posta (Czech Postal Services) and the QR code. The thesis attempts to analyze methods of encoding information into barcodes and error detection algorithms used for error correction during the decoding processes. Most importantly, there is described Reed-Solomon error correction in the QR code. There are presented and evaluated different methods of code detecting which are suggested by authors of various academic articles. The thesis also describes the method of creating test sets of images and proposed appearances of the scanning scene. Additionally, there are described algorithms for detection and decoding barcodes GS1-128, C128 and IMB in the image which was created during the work on this thesis. Finally, there is the evaluation of the percentage success of algorithms.
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