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Motion Detection in Video
Polanský, Petr ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
The objective of this work is evaluate motion detection using Gaussian Mixture Model. When algorithm detects motion, it creates short video capturing this motion and visualizing it properly. Visualization is made by white pixels intensity graph. System is applicable on less busy area when motion is more noticeable. Results of this work shows how surrounding environment and camera position influence detection.
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Eye-blink detection
Jeništa, Petr ; Atassi, Hicham (referee) ; Vlach, Jan (advisor)
The merits of my Bachelor's Thesis is description of the theoretical principles of methods which are used for eye-blink detection. This work discribes methods for location of human face in a frame with the comlex background. The next principes of the work are different manners how we can find eyes in the frame and its sequential tracking. The last part is the eye analysis and the evaluation whether blinking went ahead or not.There are describes different intermedia which is used for processing of the numerical frame. At the close of the work is described the practical realization of some mentioned methods, thus the realization of algorithm which detects blinking eyes pair.
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Microwave radar sensor data processing focused on detecting the trajectory of people
Uher, Adam ; Slováček, Miroslav (referee) ; Valach, Soběslav (advisor)
This bachelor ‘s thesis deals with a topic of people detection and tracking their movement in regions of interest. The individual methods that can achieve people detection are analyzed. To implement people detection and tracking their movement microwave radar sensor IWR6843AoPEVM from Texas Instruments is chosen for this task. This hardware and its software are described in detail. Then simulation is conducted to track people in a queue and its results are evaluated. Different advantages and disadvantages of individual methods are compared with each other. Finally, there’s a summary of possible implementations for this device and target platform is chosen to verify its functionality.
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Automatic recognition of human hand gestures
Olejár, Adam ; Křupka, Aleš (referee) ; Číka, Petr (advisor)
This bachelor thesis is aimed at realization application detecting hand in the video from a webcam. The first section describes the pre-processing options and object detectors based on different methods. Second part of the project talks about cross-platform Java language and useful libraries for project realization. The third section is a summary realization of the assignment.
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Estimation of bone mineral density of cancellous vertebral bone in multi-energy CT data
Líška, Martin ; Jakubíček, Roman (referee) ; Chmelík, Jiří (advisor)
The principle of the BMD estimation method presented in this thesis consists in the tomographic scanning of the axial skeleton by a CT system with two different energies. The BMD estimation method was applied to acquisitions scanned by CT system IQon Spectral CT (Philips) on seven patients, two men and five women, in the lumbo-sacral region. For the functionality of the method, it is necessary to know the standardized amounts of selected elemental components contained in a given tissue, specifically in the cancellous bone of the vertebra. In the first part, the thesis deals with the theoretical part of solving the estimation of BMD from dual-energy CT data, two equations with several unknowns and their modification. The practical part deals with the program solution of the method of calculating the estimation of bone minerals in dual-energy CT data. The outputs of the presented BMD estimation method were processed and statistically compared with the other two phantom-less BMD estimation methods. The functionality of the method and statistical processing were solved in MATLAB and STATISTICA softwares.
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Microwave radar sensor data processing focused on detecting the trajectory of people
Uher, Adam ; Slováček, Miroslav (referee) ; Valach, Soběslav (advisor)
This bachelor ‘s thesis deals with a topic of people detection and tracking their movement in regions of interest. The individual methods that can achieve people detection are analyzed. To implement people detection and tracking their movement microwave radar sensor IWR6843AoPEVM from Texas Instruments is chosen for this task. This hardware and its software are described in detail. Then simulation is conducted to track people in a queue and its results are evaluated. Different advantages and disadvantages of individual methods are compared with each other. Finally, there’s a summary of possible implementations for this device and target platform is chosen to verify its functionality.
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Estimation of bone mineral density of cancellous vertebral bone in multi-energy CT data
Líška, Martin ; Jakubíček, Roman (referee) ; Chmelík, Jiří (advisor)
The principle of the BMD estimation method presented in this thesis consists in the tomographic scanning of the axial skeleton by a CT system with two different energies. The BMD estimation method was applied to acquisitions scanned by CT system IQon Spectral CT (Philips) on seven patients, two men and five women, in the lumbo-sacral region. For the functionality of the method, it is necessary to know the standardized amounts of selected elemental components contained in a given tissue, specifically in the cancellous bone of the vertebra. In the first part, the thesis deals with the theoretical part of solving the estimation of BMD from dual-energy CT data, two equations with several unknowns and their modification. The practical part deals with the program solution of the method of calculating the estimation of bone minerals in dual-energy CT data. The outputs of the presented BMD estimation method were processed and statistically compared with the other two phantom-less BMD estimation methods. The functionality of the method and statistical processing were solved in MATLAB and STATISTICA softwares.
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Influence of the time interval from the radiopharmaceutical administration on the bone / background activity ratio in the bone scintigraphy
ZAHOŘOVÁ, Tereza
Influence of the time interval from the application of radiopharmaceutical on the activity ratio of bone/backround during the skeletal scintigraphy. The presented thesis aims to demonstrate the effect of the selected time interval from the application of radiopharmaceutical until the start of whole body skeletal scintigraphy on the quality of examination of patients at the department of nuclear medicine at the Clinic of imaging methods in FN Pilsen. The ratio between the background and bone activity of patients will vary with the length of the interval between the application of radiopharmaceuticals and the beginning of imaging. We expect that with prolonging of the time interval the ratio between the background and bone activity will increase, which means a higher quality of your imaging in practise. The hypothesis of this thesis expects a differentiation of ratio between the background and bone activity depending on the time of initiating whole body scintigraphy from the time of application of radiopharmaceuticals. To determine the ratio value a reference file of males aged 25-65 years (year of birth from 1951 to 1991, the year of examination from 2013 to 2016), weighing 65-95 kg was created, where scintigraphy does not show pathology in the examined area of the skeleton or in the soft tissues on the left thigh. These patients were divided into two groups according to the time intervals between the application and the beginning of the whole body skeletal scintigraphy. The first group consists of 30 patients who were examined less than 120 minutes after the application of the radiopharmaceutical. The second group consists of 30 patients who were examined more than 120 minutes after the application of the radiopharmaceutical. Using the ROI technique, values from the areas L5, right femur and soft tissue structures on the left thigh are obtained. These values are then used to calculate the time intervals on the activity ratio of bone/backround and verify the hypothesis, which assumes that the ratio values between the above mentioned groups will be different. This difference should prove that a longer time interval between the application of the radiopharmaceutical and the beginning of scintigraphy will bring a higher quality of scintigraphic imaging. This qualitative factor will be beneficial both for patients and their physicians who have to describe these scintigrams.
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Evaluation of flow rate through the measurement volume during droplet size measurement
Kysela, Bohuš ; Formánek, R. ; Chára, Zdeněk ; Konfršt, Jiří ; Jašíková, D. ; Šulc, R.
The in-situ measurement and evaluation of drop sizes via Image Analysis (IA) has been widely used by many researches. The development of new visualization techniques and PIV methods enables to measure directly in a control volume. However, these methods are limited by following parameters such as size of the scanned area, maximal resolution and optical limitations (transparency, refractive index, concentration of dispersed phase). This contribution is focused on simulation of velocity field in region of interest which serve for determine the important parameters of camera setting.
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Methods for Localization of Image Differences in Different Modalities of Paintings
Fürbach, Radek ; Blažek, Jan (advisor) ; Křivánek, Jaroslav (referee)
The work focuses on the analysis of paintings to determine the painting techniques. Specifically, it focuses on the localization of the underdrawing by comparing images taken in the spectra with different penetration depth. Defines the problem associated with the capture of the compared images in different spectra. Specifies methods that determine the dependence between two parts of the spectrum (mainly RGB and IR) and based on the dependence approximates conversion between these two parts of the spectrum (Red spectral component projection, Colour intensity, Weighted average of spectral components, Table conversion, Linear regression, PCA analysis and Edge decomposition). Work also describes more general problems that complicate solving tasks, such as noise, non-uniform illumination and adding the same type of radiation. Problems at work are thoroughly analyzed. We design a Calculation of illumination parameters using a neural network, Approximation of illumination by blur, Polynomial approximation of illumination and TWMJ approximation of illumination for suppressing non-uniform illumination. Define methods Estimation by edge decomposition and Local least squares method solving adding the same type of radiation. In addition, we describe the Gaussian filter, the Averaging, Median filter, Conservative...
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