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Semiautomatic Collection of Large Database of Handwritten Letters
Štěpánek, Ivo ; Juránek, Roman (referee) ; Herout, Adam (advisor)
This thesis deals with creation of database of handwritten characters further usable for handwritten character recognition. The issue of systems for unconstrained handwritten text recognition and datasets usable for it is discussed. Practical part of the thesis aims at preprocessing of the input document and line and word segmentation followed by extraction of isolated characters. These phases can be done entirely automatically, though user input to correct output of automatic processing is supposed. Furthermore the practical part is devoted to annotation of obtained character and to generation of XML document containing annotation and position of single characters from the input texxt. The created system is finally evaluated with emphasis on GUI and automatic segmentation succes rate.
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Face Detection
Štrba, Miroslav ; Juránek, Roman (referee) ; Hradiš, Michal (advisor)
This bachelor thesis contains overview of actual face detection methods using classifier. It also contains description of creating system for face detection. There are described different methods for classifier training in first part. There is analysis, which preceded creation of system focused on black-and-white picture, in second part. Implemented system is using WaldBoost algorithm and Haar features. There is option to use particle filter in video.
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Optical Character Recognition
Pokorný, Pavel ; Juránek, Roman (referee) ; Mlích, Jozef (advisor)
This paper presents some of the methods for locating and recognizing text in an image document. It describes feature extraction issues and commonly used machine learning algorithms. In the latest part, there is description of design and implementation of application for printed text recognition.
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Quality Check of Text in Forms
Moravec, Zbyněk ; Juránek, Roman (referee) ; Zemčík, Pavel (advisor)
Purpose of this thesis is the quality check of correct button text display on photographed monitors. These photographs contain a variety of image distortions which complicates the following image graphic element recognition. This paper outlines several possibilities to detect buttons on forms and further elaborates on the implemented detection based on contour shapes description. After buttons are found, their defects are detected subsequently. Additionally, this thesis describes an automatic identification of picture with the highest quality for documentation purposes.
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Detection and Tracking of Small Moving Objects
Záděra, David ; Mlích, Jozef (referee) ; Juránek, Roman (advisor)
This thesis summarizes and describes the methods for detecting and tracking moving objects in video. The detection methods discussed in the working are background subtraction, segmentation and detection methods using classifiers. From tracking methods are presented Kalman filter, TLD method and particle filter, which is described in detail in a separate chapter. Particle filter is a tracking method that calculates a new estimate of the state of the object based on a set of particles. These particles are defined by their positions and weights. For each next state are these values iteratively updated by measurment and resampling. From the acquired knowledge and expertise has been created a program that demonstrates the activity of the particle filter. This program is part of the DVD, where are also the samples and test results.
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Advanced Detection of Human Face
Koníček, Igor ; Juránek, Roman (referee) ; Herout, Adam (advisor)
With detection, localization and pose estimation of face was used to deal as three different tasks. This thesis works with algorithms which unify this tasks into one algorithm. To solve this problem histograms of oriented gradients connected in tree based structure are used. First part of work briefly informs about methods used for face detection. Aim of this work is to experiment with given algorithms and discover their quality for face detection and glasses detection.
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Video Editor of Sport Recordings
Janoušek, Martin ; Juránek, Roman (referee) ; Láník, Aleš (advisor)
This thesis deals with creating of video editor for mobile devices running on Android operating system. It is introduced Android operating system and other technology used, including the Ing. Tomas Slavotinek's library, which is used for video processing. The application is also able to process data from GPS and other sensors. The output projects are stored in SQLite database automatically and is the ability to export them to video files.
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Detection, Tracking and Classification of Vehicles
Vopálenský, Radek ; Herout, Adam (referee) ; Juránek, Roman (advisor)
The aim of this master thesis is to design and implementation in language C++ a system for the detection, tracking and classification of vehicles from streams or records from traffic cameras. The system runs on the platform Robot Operating System and uses the OpenCV, FFmpeg, TensorFlow and Keras libraries. For detection is used cascade classifier, for tracking Kalman filter and for classification of the convolutional neural network. Success rate for detection is 91.93 %, tracking 81.94 % and classification 63.72 %. This system is part of a comprehensive system, that can moreover calibrate video and measure of vehicles speed. The resulting system can be used for traffic analysis.
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