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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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Analysis of Parking Availability
Stránský, Václav ; Rozman, Jaroslav (referee) ; Marvan, Aleš (advisor)
This thesis deals with an analysis of parking availability. The task is to determine the occupancy of predefined parking places in the sequence of color images acquired by a fixed camera. The thesis describes the design, implementation, and testing of three utilized methods for car detection, i.e. background modelling, edge detection, and histogram comparison. These methods are combined in order to obtain a more robust and accurate solution. The proposed system has been successfully tested on several real scenarios.
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Embedded video processing for surveillance systems
Gerych, Lukáš ; Polák, Ladislav (referee) ; Frýza, Tomáš (advisor)
The thesis includes the design and implementation of embedded system to capture static scenes and image evaluation for the surveillance system. It is performed on a tiny computer Raspberry Pi with ARM processor. Methods are provided for various types of detection in the image and their implementation using OpenCV libraries. It also deals with ways to access the system for the control and viewing records of detections.
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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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Augmented Reality Using Video from a Stationary Camera
Lagová, Lenka ; Szentandrási, István (referee) ; Herout, Adam (advisor)
This thesis deals with the issue of creating applications of augmented reality. There are described types of augmented reality, problems associated with developing of applications of this kind. Also there is description of method for detection of moving objects from the record of stationary camera. The thesis deals with camera calibration using knowledge of scene geometry. Scene editor for scene geometry estimation is included in this work. Augmented reality is represented by physical simulations, where object from virtual reality interacts with detected objects and with objects defined in scene editor.
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Motion Detection in Video
Půček, Petr ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
This bachelor thesis deals with motion detection in video recorded on stationary camera. It describes the process of solution and implementation of motion detection app on Windows platform using OpenCV library for image processing. These principles of image analysis and processing can be used in any other systems.
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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.
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Passive optical detection and classification of flying objects
Mošková, Andrea ; Marcoň, Petr (referee) ; Vlachová Hutová, Eliška (advisor)
Based on an initial analysis of the methods used for optical detection and recognition of moving elements in a dynamic image captured by a static camera, the bachelor's thesis presents a proposal for a complex detection algorithm capable of recording and classifying flying objects in the sky. The method uses a differential detection algorithm to detect signs of motion, thanks to which flying objects are located in the video frames. The SVM classifier then decides on the classification of the object into one of the three considered classes, based on its description obtained by extraction of SIFT descriptors and possibly supplemented with information from RGB histograms. The algorithm was implemented primarily in Matlab.
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Laboratory task of the surveillance camera system
Špondr, Marek ; Jeřábek, Jan (referee) ; Burda, Karel (advisor)
The goal of this thesis is to describe principles, technical solutions and basic components of the surveillance camera system. The second part of this thesis describes how to connect and control specific surveillance camera system. For this specific surveillance camera system is designed laboratory task for 90 minutes.
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Person Identification for Surveillance
Hopjan, Tomáš ; Juránek, Roman (referee) ; Hradiš, Michal (advisor)
This project deals with camera system surveillance and identification of humans. Motion detection and identification methods are presented. The main issue is people tracking using multiple camera system. Identification of individuals is accomplished using processing of decomposed colors histograms. Based on the experiments benefits and problems are introduced.
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