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Clean photo out of corrupted videosequence
Berky, Martin ; Záviška, Pavel (referee) ; Rajmic, Pavel (advisor)
This diploma thesis deals with separation of moving objects from static unchanging background in video sequence. Thesis contains description of common method of separation and approach based sparse signal representation. In the practical part of thesis, there were created video sequences, which are used to verify designed algorithm implemented in Matlab interface, disegned to obtain separated background from damaged video frames.
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Clean photo out of corrupted videosequence
Berky, Martin ; Záviška, Pavel (referee) ; Rajmic, Pavel (advisor)
This diploma thesis deals with separation of moving objects from static unchanging background in video sequence. In this thesis are described common method of separation and access using sparse signal representation. In the practical part of thesis was created video sequences, on which is verified the designed algorithm, implemented in Matlab, for obtaining background from damaged video frames and comparing this methods.
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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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Moving Persons Surveillance System
Hochman, Zdeněk ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is devoted to detect moving person in video sequence. It is dealed with detect motion primarily and it is determinated by place of motion. The thesis introduces relatively new method of detection motion Local Binary Patterns, which allow quick and exact detect of motion. Inhere of this thesis is also application for detect person. The thesis publishes tests of this application detailed and it mentiones positives and negatives of different settings application which reader can finally use at work with application.
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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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Fire Detection in Images and Video
Poledník, Tomáš ; Juránková, Markéta (referee) ; Přibyl, Bronislav (advisor)
This bachelor's thesis deals with fire detection in image and video. Attention is paid to the existing methods and known approaches to fire detection. Based on the analysis of the described methods, a fire detector, monitoring the attributes of its colour and motion, is designed, implemented and tested. The implemented detector achieves true positive detection rate of up to 90%.
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Video Editor
Kopřiva, Vít ; Láník, Aleš (referee) ; Juránek, Roman (advisor)
This work deals with an implementation of a simple software system for video editing. The practical part of this work examines the essential functions of the software: video sequence import, sequence cutting, filtering, timeline placement and video sequence export. This software is the command line interface application, primarily designed for batch editing of video files into the one single video sequence. Theoretical part of this thesis describes technological development of a video editing as well as the current software means.
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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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Smoke and Fire Detection in Video Sequences
Havelka, Robert ; Juránek, Roman (referee) ; Španěl, Michal (advisor)
This master's thesis deals with fire detection in videosequences. Attention is paid to the known characteristics of fire and basic principles of existing solutions which deal with this issue. The thesis also describes design, implementation and testing of a fire detector that is based on the recognition of suspicious areas by fire color modeling, combined with detection of motion and light intensity variations.
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Detection of Fire in Video
Poledník, Tomáš ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
{This thesis deals with fire detection in video by colour analysis and machine learning, specifically deep convolutional neural networks, using Caffe framework. The aim is to create a vast set of data that could be used as the base element of machine learning detection and create a detector usable in real application. For the purposes of the project a set of tools for fire sequences creation, their segmentation and automatic labeling is proposed and created together with a large test set of short sequences with artificial modelled fire.
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