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Image object detection using template
Novák, Pavel ; Mašek, Jan (referee) ; Burget, Radim (advisor)
This Thesis is focused to Image Object Detection using Template. Main Benefit of this Work is a new Method for sympthoms extraction from Histogram of Oriented Gradients using set of Comparators. In this used Work Methods of Image comparing and Sympthoms extraction are described. Main Part is given to Histogram of Oriented Gradients Method. We came out from this Method. In this Work is used small training Data Set (100 pcs.) verified by X-Validation, followed by tests on real Sceneries. Achieved success Rate using X-Validation is 98%. for SVM Algorithm.
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Image object detector based on C4 algorithm
Vylíčil, Radek ; Rajmic, Pavel (referee) ; Mašek, Jan (advisor)
This thesis deals with the image object detection using Contour cues. The text describes methods how to train and test object detector. The main contribution of this thesis consists in creation Feature extractor for creation object detector in Java programming. The functionality of object detector was demonstrated on medical images.
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The idnetification of the objects in the imege
Zavalina, Viktoriia ; Fliegel, Karel (referee) ; Boleček, Libor (advisor)
Master´s thesis deals with methods of objects detection in the image. It contains theoretical, practical and experimental parts. Theoretical part describes image representation, the preprocessing image methods, and methods of detection and identification of objects. The practical part contains a description of the created programs and algorithms which were used in the programs. Application was created in MATLAB. The application offers intuitive graphical user interface and three different methods for the detection and identification of objects in an image. The experimental part contains a test results for an implemented program.
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Object tracking in videosequence
Nešpor, Zdeněk ; Zukal, Martin (referee) ; Číka, Petr (advisor)
This thesis deals with tracking a predefined object in the movie. After a brief introduction describes the procedure suitable for the detection of an object in a video sequence, where the methods are also discussed in detail. There is dealt with issues of image preprocessing, image segmentation and object detection in the image. The main emphasis is laid on using detectors of interest points and descriptors of areas - SURF and SIFT. The second part deals with the practical implementation of a program suitable to monitor predefined object in the movie. First are analyzed libraries suitable for object tracking in a video sequence in an environment of Java, followed by a detailed description of the selected library OpenCV along with wrapper JavaCV. Further described is own application in terms of control and functionality are described key method. Outputs along with discussion and evaluation are presented at the end of work.
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Image object detection using Haar-like features
Mašek, Jan ; Smékal, Zdeněk (referee) ; Burget, Radim (advisor)
This thesis deals with the image object detection using Haar--like features and AdaBoost algorithm. The text describes methods how to train and test an object detector. The main contributon of this thesis consists in creation image object detector in Java programming language. Created algorithms were integrated as plugin into the RapidMiner tool, which is widely used and known worldwide as tool for data mining. The thesis contains the instructions for created operators and few exaples for executing in RapidMiner tool. The functionality of image object detector was demonstrated on selected medical images.
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Detectors of image objects and their implementation
Gregor, Michal ; Kohoutek, Michal (referee) ; Kyselý, František (advisor)
Image processing puts more construction on various application areas these days. One of these days vision, which would use picture operations, is producing an autonomic car. It would manager traffic operations on its own. There is often quickly need to image processing for example in evolutions doctors´ or sattelites´ dates. The computer vision is science about digital image processing. This science tries simulate human eye by technical instrument. The man will get information source about surrounding world throught his eyes. It´s necessary connect up gain knowledge and experiences from surrounding world to evolution informations. In the same ways computer´s vision tries to solve the image processing too. This work described processes, which are used to detection 2D objects in the picture. The process of image recognition is engaged in several steps. First, the digital picture is put into the computer and than the picture preprocessing picture partitioning into objects and describe obtain objects follws. At least their classificattion follows. This work is engaged in these problems. The main task of this bachelor effort is evalution primary detector objects. In practically part there is implementation of application in Matlab program. This implementation detects objects in the picture. And makes it possible to test of designed detektor.
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Decision Tree Design Based on Evolutionary Algorithms
Benda, Ondřej ; Trzos, Michal (referee) ; Karásek, Jan (advisor)
Tato diplomová práce pojednává o dvou algoritmech pro dolování z proudu dat - Very Fast Decision Tree (VFDT) a Concept-adapting Very Fast Decision Tree (CVFDT). Je vysvětlen princip klasifikace rozhodovacím stromem. Je popsána základní myšlenka konstrukce stromu Hoeffding Tree, který je základem pro algoritmy VFDT a CVFDT. Tyto algoritmy jsou poté rozebrány detailněji. Dále se tato práce zabývá návrhem algoritmu Genetického Programování (GP), který je použit pro vytváření klasifikátoru obrazových dat. Vytvořený klasifikátor je použit jako alternativní způsob klasifikace objektů v obraze ve frameworku Viola-Jones. V práci je rozebrána implementace algoritmů, které jsou implementovány v jazyce Java. Algoritmus GP je integrován do knihovny “Image Processing Extension” programu RapidMiner. Algoritmy VFDT a CVFDT jsou testovány na syntetických a reálných textových datech. Algoritmus GP je testován na klasifikaci obrazových dat a následně vytvořený klasifikátor je otestován na detekci obličejů v obraze.
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Image Motion Detection
Zítka, Michal ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This bachelor project dissert on detection of motion in image. Also sumary basic methods for detection of motion in image and method of segmentation using active contour. In practical section is attention paid to detection of motion in video camera screenshots.
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Wavelet transform based object detector
Mikuš, Ondřej ; Průša, Zdeněk (referee) ; Rajmic, Pavel (advisor)
This thesis deals with applying methods on object detection in image. Separation of objects off the background is often needed during the image processing. It isolates the region of interest that can be worked with. The main purpose of this paper is the explanation of principles of pre-processing and segmentation of image, resulting in object detection using the wavelet transformation. This wavelet transformation is described more in detail, because it is the base of the primary used method. In the practical part of this thesis the main method was implemented to MATLAB environment and tested on set of images. The method was tested for robustness against noise and blur of image. It was compared with commonly used methods, using the edge detectors and thresholding. A simulation program was created for comparison of methods efficiency, including user interface.
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