National Repository of Grey Literature 203 records found  beginprevious86 - 95nextend  jump to record: Search took 0.00 seconds. 
Interactive evaluation of current biliard situation during game
Sedlařík, Jan ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
The aim of this master’s thesis is evaluation of images by computer vision methods. The elaborated scene is billiard game scanned by camera. Using pre-processing, image segmentation and object classification we will try to understand the gameplay situation and uvaluate it in accordance with applicable rules.
Visual Object Tracking in Realtime
Kratochvíla, Lukáš ; Klečka, Jan (referee) ; Horák, Karel (advisor)
Sledování obecného objektu na zařízení s omezenými prostředky v reálném čase je obtížné. Mnoho algoritmů věnujících se této problematice již existuje. V této práci se s nimi seznámíme. Různé přístupy k této problematice jsou diskutovány včetně hlubokého učení. Představeny jsou reprezentace objektu, datasety i metriky pro vyhodnocování. Mnoho sledovacích algorimů je představeno, osm z nich je implementováno a vyhodnoceno na VOT datasetu.
Region Detectors and Descriptors in Image
Žilka, Filip ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master’s thesis deals with an important part of computer vision field. Main focus of this thesis is on feature detectors and descriptors in an image. Throughout the thesis the simplest feature detectors like Moravec detector will be presented, building up to more complex detectors like MSER or FAST. The purpose of feature descriptors is in a mathematical description of these points. We begin with the oldest ones like SIFT and move on to newest and best performing descriptors like FREAK or ORB. The major objective of the thesis is comparison of presented methods on licence plate localization task.
Identification of Vehicles in the Images of Traffic Situations
Petyovský, Petr ; Sojka, Eduard (referee) ; Železný, Miloš (referee) ; Horák, Karel (advisor)
The aim of this thesis is to propose methods for obtaining the additional vehicle parameters from the real-world traffic situations images and including existing information of the license plate and localization of the vehicle in the scene. The task is to use an existing installation of the camera systems based on data obtained from these devices to propose a new method of extraction of other vehicle's parameters. Solutions can be divided into two groups: 1. Methods for obtaining the features and methods of data evaluation which will lead to a vehicle's type identification based on a single image of the vehicle. 2. Methods for obtaining data of the vehicle's shape based on image sequence of passing vehicle.
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.
Barcode recognition system
Svoboda, Radovan ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This work deals with principle and technological process used to detect barcodes that are commonly used. It contains brief overview of barcodes according to type and structure. Also it takes a closer look on type DATAMATRIX and its analysis. It describes possible hardware and software approaches that can be used to detect barcodes, describes concrete concept of scanning barcode and software solution for its identification.
Applied Methods for Transparent Materials Inspection
Horák, Karel ; Honec, Jozef (advisor)
A lot of production lines contain camera inspection systems that increase quality of production. Therefore this presented work deals with applications of computer image processing methods in defectoscopy. Concretely the thesis is concerned with defects evaluation of glass bottles in food operations by the help of visual system BTCAM612, which is in existing configuration installed inland and in several foreign countries. The system is developed in conjunction with developer company CAMEA Ltd. from Brno and it is its sole ownership. The whole process of bottles inspection is described in sequence. First of all it is the hardware acquisition of images of three main controlled parts of bottles – neck, bottom and side. Next chapters are concentrated on image processing and features classification. The features are obtained from image by methods based on detection of in-homogeneities on glass material. Essential part of work is focused on filtration of synthetic patterns from bottles bottoms using function of complex invariants. These patterns are occurred especially in many plants in eastern countries, where marketplace with inspection systems and generally with quality inspection of industrial lines is expanded lately.
Detection of billiard's situation by means of camera
Zítka, Michal ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This thesis deals with processing pictures from game on billiard, their pre-processing, segmentation and classification of objects. Depending on objects classification is determinated state of game and it´s next step. Aim of this project is development of system for gameplay assistance.
Simulation models of human operator.
Boháč, Petr ; Horák, Karel (referee) ; Havlíková, Marie (advisor)
This paper deals with simulation models of the human operator controlling lateral position of simulated vehicle. I am comparing parameters and quality of the McRuer human driver model and the PID controller. Simulated system is single-track vehicle model. Simulated driver is tasked to pass a Moose test with this vehicle model. I am using the simulated annealing method to find optimal parameters of the driver model and then I visualize realized test in 2D and 3D visualization. In the end of this paper I compare simulations of the driver models and assess achieved results.
Road detection using data from mobile robot camera
Peška, Jaroslav ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
Bachelor thesis deals with the problem of road detection by mobile robots using data obtained from its camera. First, current solutions are researched and considered for use in the proposed algorithm. Afterwards we define limit parameters of the entire solution. An automatic process using human-created reference was then devised to programatically determine the accuracy of individual versions of proposed solutions. First, an initial version of the solution was implemented, which was subsequently optimized and accelerated using GPGPU. Lastly, proposed algorithm is evaluated and possible future changes are outlined.

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