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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.
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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.
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Motion Detection in Video Sequences
Chadim, Petr ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis deal with a problem of motion detection in video sequence. The basic principle of method Bacground subtraction and the algorithm for searching differences between frames were described in details. Great attention is made for actualization of referential frame. Part of this thesis is a localization of motion object. The result of this thesis is an application for testing of motion detector in different environments.
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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Fire Detection in Video Sequences
Vampola, Radek ; Vaďura, Jiří (referee) ; Španěl, Michal (advisor)
This bachelor´s thesis deals with fire detection in video recording. The aim is to design and create a fire detector to detect incipient fire. Fire detection takes advantage of some properties of fire, which can be recorded on a camera, such as colour of fire, flickering of flames and pulsating of intensity of light emitted by fire. When fire is detected the detector highlights a fire area and a warning message is displayed in standard output.
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Motion Detection in Video Sequences
Chadim, Petr ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis deal with a problem of motion detection in video sequence. The basic principle of method Bacground subtraction and the algorithm for searching differences between frames were described in details. Great attention is made for actualization of referential frame. Part of this thesis is a localization of motion object. The result of this thesis is an application for testing of motion detector in different environments.
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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.
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Recognition of Finger Veins of a Human Hand
Szalayová, Lucia ; Dvořák, Radim (referee) ; Drahanský, Martin (advisor)
This diploma thesis deals with different ways of grayscale image processing of veins in a finger of human hand. The process consists of vein structure extraction, and then this structure is compared with collection of provided snapshots. First of all we introduced problem of biometric systems and image processing. There are presented also some commercial solutions from the same field. Within the detailed description of image processing we suggested different modifications in adaptive thresholding algorithm, feature extraction, which continues into comparison of vein structures. Thesis is closed by testing and final review.
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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.
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|
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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