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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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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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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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Implementing a Video Quality Metric in the H.264/AVC Decoder
Grúbel, Michal ; Číka, Petr (referee) ; Slanina, Martin (advisor)
In this diploma thesis an algorithm for the evaluation of picture quality of H.264-coded video sequences is introduced and applied. As a measure of picture quality objective metric the peak signal to noise ratio (PSNR) is used. While the computation of the PSNR usually requires a reference signal and compares it to the distorted video sequence, this algorithm is able to evaluate PSNR following the coded transform coefficients. Thus, no reference signal is needed.
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Anomaly detection in video sequences on devices with low computing power
Bílek, František ; Ježek, Štěpán (referee) ; Sikora, Pavel (advisor)
The bachelor’s thesis focuses on the problem of anomaly detection in video sequences on devices with low computational power. Traditional and current approaches to anomaly detection are described from the perspective of machine learning and neural networks. The goal of the thesis is to implement an efficient and reliable algorithm capable of detecting anomalies in real-time. Emphasis is placed on minimizing computational requirements and optimizing memory usage to achieve efficiency on devices with limited computational capacities.
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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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Video Editing Tool
Krivda, Marian ; Herout, Adam (referee) ; Sumec, Stanislav (advisor)
This work consist of the design and implementation of the video editing core. It contains three general phases. The first of them is inspection of video editing tools. The video editing core design is second phase. Last phase is implementation.
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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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