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Mapping the Motion of People by a Stationary Camera
Bartl, Vojtěch ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
The aim of this diploma thesis is to obtain information on the motion of people in a scene from the record of the stationary camera. The procedure to detect exceptional events in the scene was designed. Exceptional events can be fast-moving persons, or persons moving in di erent places than everyone else in the scene. To trace the motion of persons, two algorithms were applied and tested - Optical flow and CAMSHIFT. The analysis of the resulting motions is performed by monitoring the progress of motion, and its comparison with the other motions in the scene. The analysis result is represented by detected exceptional motions that can be found in the video. The areas where the motion occurs in the scene, and where the motion is the most common are also described together with the motion direction analysis. The exceptional motion parts extracted from the video represent the main result of the work.
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Android IP Camera
Chvála, Jan ; Havel, Jiří (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design a system which would allow video data streaming from a mobile device and real time playback using a standard web browser. The technological background and the implementation platform are both part of this thesis. Web Real Time Communications (WebRTC) technology was used for acquiring multimedia data on mobile device. This technology is natively supported in the latest major web browsers and in WebView component (Android version 5.0 and above). Sending push notifications from a server to a mobile device to start the streaming is done with Google Cloud Messaging technology. The resultant system allows a user to start the application on mobile device with easy web browser access. This starts the multimedia stream from device, which can be parametrized and secured by password. The benefit of this thesis is the overview of WebRTC technology and its demonstration. The IP camera implementation shows how easy it is to use the WebRTC in real applications.
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License Plate Detection and Recognition for Traffic Analysis
Černá, Tereza ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
This thesis describes the design and development of a system for detection and recognition of license plates. The work is divided into three basic parts: licence plates detection, finding of character positions and optical character recognition. To fullfill the goal of this work, a new dataset was taken. It contains 2814 license plates used for training classifiers and 2620 plates to evaluate the success rate of the system. Cascade Classifier was used to train detector of licence plates, which has success rate up to 97.8 %. After that, pozitions of individual characters were searched in detected pozitions of licence plates. If there was no character found, detected pozition was not the licence plate. Success rate of licence plates detection with all the characters found is up to 88.5 %. Character recognition is performed by SVM classifier. The system detects successfully with no errors up to 97.7 % of all licence plates.
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Mobile Application Supporting Management of Traffic Constructions
Obořil, Radek ; Španěl, Michal (referee) ; Herout, Adam (advisor)
This thesis deals with development of an application supporting management of traffic constructions. The resulting solution consists of a mobile application and a server application. The mobile application allows users to document progress of a construction using integrated camera, maps and GPS, and send collected data to the server. The server application includes a web service for client-server communication, and a web application for database management and processing of the collected data. Apart from the design and implementation, the features and technologies of mobile devices utilized by the application are discussed. The thesis also reviews current most significant mobile platforms and analyses concepts and technologies of cross-platform development, especially Xamarin and MvvmCross, which were used for development of the above-mentioned application.
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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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Mobile App for Measuring the Range from the Preceding Vehicle in Traffic
Henry, Andrii ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
This master's thesis deals with development of mobile app for measuring the range from the preceding vehicle in traffic using visual-based methods. This paper describes implementation of computer vision algorithms of detection and tracing objects, detection of horizon on desktop and mobile devices. Also deals with visual-based range measuring without any other mechanisms. The output of the work is implemented detectors of vihicles and horizon using OpenCV library on the Windows platfom and draft of user inerface of a mobile phone aplication on the Android platform.
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Photorealistic Rendering Using "Photon Mapping" Method
Lysek, Tomáš ; Herout, Adam (referee) ; Zemčík, Pavel (advisor)
This master thesis focuses on photon mapping rendering technique. A simple photon mapping was implemented as a baseline and then progressive photon mapping was prepared for CPU and GPU. After implementing progressive photon mapping on GPU, further acceleration techniques were proposed. Finally, in the thesis, genetic clustering algorithm for suitable clusters on GPU was proposed.
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Simulink jako nástroj pro vývoj rekonfigurovatelných aplikací
Kovář, Bohumil ; Schier, Jan ; Zemčík, P. ; Herout, A. ; Beran, V.
Our paper focuses on rapid prototyping and configuration tools for an embedded system. It will present novel concept of an image processing architecture based on interconnection of a programmable logical chip (FPGAs) with digital signal processor (DSP). In the paper, we shall outline a configuration tool tailored towards systems combining both DSP and FPGA, based on a configuration/programming scripting language and with a complex library of functions and modules for selected applications in signal and video processing.
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