National Repository of Grey Literature 75 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Person Identification Based on Locomotion
Pražák, Ondřej ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This paper deals with study of human movement and using that in identification. In the first part of my work are explained characteristics of human movement and factors which take effect on these characteristics. Practical part is dealing with design of program which is solving mentioned problems. The input of program is created by video sequence with lateral movement of human. The program is finding coordinates of lower limbs joints. From this coordinates are created locomotion characteristics used for human identification. Matching of time behaviors is based on correlation.
Theremin Simulation Using Leap Motion
Staurovský, Maroš ; Zahrádka, Jiří (referee) ; Najman, Pavel (advisor)
The goal of this thesis is the creation and implementation of application that simulates playing the theremin by using Leap Motion sensor and MIDI protocol. This sensor allows us to detect movement of hands and recognition of gestures in the monitored area. This is  used in the aplication to simulate the same principle that is used for playing theremin. Unlike this instrument we are able to produce sound of different instruments which is accomplished by using MIDI. The Leap Motion sensor and MIDI protocol are detailed in the theoretical part of the thesis.
Emergency Button for Seniors
Verbík, Josef ; Chmelař, Milan (referee) ; Strašil, Ivo (advisor)
This Thesis „Emergency Button for Seniors“ is about suggestion of realization of system emergency signalization. The System consists of programmable digital watch with wireless interface and PC with software processing signals. Status signalization is created by phone message and figuration of dialog on monitor. There is used free software for realization. Operation system on PC is Linux (distribution Ubontu 11.04). For graphic transitional plane PC application is used cross-platform framework QT. For watch firmware is used C compiler MSP430-GCC, MSP debug v0,15 and firmware OpenChronos.
Moving object detection
Škuta, Pavel ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The aim of this these was devise a automatic system applications, monitoring entering of motors vechitles with in automaric collection of trafic data. Automatic system allows identify of mooving vechitlses in slow speed and searching of the area registration number. Theoretical analysis of possible kind solving problems detection moving vechitles and their localization. From possible solutions was selected solution by camera systems. Was take a pictures of vechitles, whitch is as true of the real scene. On the pictures was testing of algorithm for detecting of area registraction number of vechitles. Designed system is possible to use for automatic monitoring mooving entering vechitles.
SMART CAR: Automatic Car Detection
Burkot, Martin ; Žák, Pavel (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis deals with the detection of moving vehicles in image sequence. In the introduction is made a brief analysis of current methods for detecting the movement of vehicles and the scene in general. In subsequent chapters is designed and described the implementation of the detector moving vehicles in an image based on the determination of optical flow. At the end there review of proposed solution.
Software for Traffic Monitoring
Tesař, Filip ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
This thesis deals with detection and tracking of moving objects in video sequences. The aim of this work is design and implementation of an application, which uses video sequence capturing car traffic to acquire statistical data about each vehicle, such as its speed estimate and determination of its lane. The proposed application uses background subtraction method 'Mixture of Gaussians' and enables monitoring of multiple locations at the same time using independent cameras. The output data are saved into database and users are allowed to display statistics in graphs through a simple web interface.
Motion Detection in Video Sequences
Jelínek, Tomáš ; Herout, Adam (referee) ; Španěl, Michal (advisor)
This thesis is dedicated to techniques for motion detection in video sequences. There is summary of several possible approaches to solve this matter in theoretical and practical point of view. Principles of motion detection based on difference between frames are discussed in details. Great attention is made for image description by new method Local Binary Patterns which allows creating of incredibly fast and accurate motion detector. Vital part of this thesis is application for monitoring and testing motion algorithms on video sequences in different environments. Results of measuring enables to determine best approaches for concrete place and reader might find it useful in case of designing his own motion detectors.    
Algorithms for Computer Vision Support
Harvánek, Martin ; Drahanský, Martin (referee) ; Zbořil, František (advisor)
Bachelor's thesis is concerned with detection and tracking disturber in the scene. As an disturber is considered any motion in the scene. For motion detection are used differential pictures and for tracking is used optical flow. Methods are implemented in C++ language using OpenCV library.
Moving Objects Detection in Video Sequences
Musil, Jakub ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This publication is dedicated to creating appliaction for motion detection in video sequence. There is summary of several possible methods to solve this matter in theoretical and practical point of view with postive and negative properties. This methods are histograms subtraction and subtraction of each pixel in the tested frame. Fundamental part of this publication is application for motion detection. There are many of tests for created detector for several type moving object included in input video sequence. Results are intimately describe.
Object Tracking in a Sequence of Images
Švancar, Boris ; Doležel, Michal (referee) ; Orság, Filip (advisor)
The bachelor thesis deals with motion detection and object tracking in video sequence from static and dynamic cameras. The background subtraction method along with using of background updating and Lucas-Kanade optical flow method are introduced in my thesis as well. Both methods are implemented in the test application in the language C++ using OpenCV and Qt libraries and consequently both of them are tested. The results are evaluated in conclusion of the bachelor thesis.

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