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Event detection in camera records
Smolnikov, Mikhail ; Sikora, Pavel (referee) ; Horváth, Tomáš (advisor)
This bachelor thesis focuses on the problem of detection and classification of moving objects in video sequences. The thesis describes the basic algorithms and methods of image data processing, including an introduction to the use of neural networks. The practical part shows the internal logic of a desktop application that allows users to evaluate their own video sequences for the occurrence of movements. The resulting application speeds up the process of video analysis on a selected device many times over.
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Tracking the movement of objects using a moving camera
Duráníková, Andrea ; Šnajder, Jan (referee) ; Králík, Jan (advisor)
The bachelor thesis deals with software for dynamic cameras with object evaluation. The first theoretical part compares programs for control of the report and data evaluation, as well as the method of motion processing, the possibilities of detecting motion and objects. The practical part implements an algorithm with the function of tracking objects, their resolution into groups and recording tracking using MATLAB.
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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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Linear drive control based on object motion detection
Novotná, Eliška ; Harabiš, Vratislav (referee) ; Sekora, Jiří (advisor)
The diploma thesis deals with motion detection and linear drive control. The diploma thesis is divided into a theoretical part, where the part of ultrasonic sensors and linear actuators, including the types of individual linear actuators, is mainly described and explained. The practical part presents the solution itself, both in terms of hardware and software. This part therefore contains the system design together with the flowcharts and the simplified 3D design of the structure. At the end of the work is given a sample of the final structure.
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CCTV system controller including motion-detection feature
Wirth, Michal ; Horáček, Jan (advisor) ; Dupej, Ján (referee)
The object of this work is to design and implement an application for managing a smaller surveillance system. There are analyzed several ways of it's possible arrangement. After then an appropriate application's architecture is designed based on discovered facts. Implemented system is introduced from user's point of view and also in a more technical sense. There is also a research of algorithms for real-time detection of moving objects within static scenes. Introduced ones are implemented, measured for their efficiency and compared with each other.
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Time Lapse from Stationary Camera Image
Ficková, Andrea ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design a system which minimizes or even eliminates the restrictions of time-lapse video captured by a stationary camera. I focused on the three of these restrictions, that I had the opportunity to observe: restless objects, abrupt illumination changes, and undesirable objects. The appearance of restrictions spoils the impression of video and causes a distraction for the object of observation. Within this thesis I designed and implemented a system that can process a captured video stored in the computer and capture time-lapse video from a video stream. The goal of the designed system is to apply one of the algorithms to the corresponding restriction. The main result is the production of a time-lapse video, which will be more pleasant for their observers to watch.
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Visual Home Security System for iOS-Based Mobile Devices
Bajaník, Filip ; Szőke, Igor (referee) ; Herout, Adam (advisor)
The goal of this diploma thesis is to design and implement a mobile application for home security system on the iOS platform. The application introduces a complex solution allowing the transmission of the audio and video streams between the paired mobile devices using WebRTC. The final module represents universal solution for peer-to-peer audio and video communication. The thesis also deals with the field of computer vision, namely efficient motion detection algorithms. The module for motion detection implements ViBe algorithm using Metal. In case that the motion is detected the application notifies a user with a push notification. Synchronization of application data is implemented using Cloudkit and the data persistance using Realm library.
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Motion Detection of Small Objects
Blažej, Svätopluk
The paper describes a problem of detection small moving objects. A size of these objects is only one or few pixels. Relevant mathematical apparatus which are usually used for processing of dynamic pictures are included. There was proposed experimental module for standalone locator for real time operation. This module is consisted from two main parts. First part is used for imaging of scene, especially small moving objects. We use four camera systems. The Second part comprises a development board based on Raspberry PI 2. We use GNU/Linux system on the board. There were also tested methods useful for the essence of this project. On behalf of the tests was developed an algorithm to detect small particle in video sequence. C and python language routines were build including essence algorithms. This algorithm consists of: images are captured one by one from all 4 cameras 640 £ 480; RGB to Gray transformation; For each image are all shapes detected; unnecessary shapes are removed; Images are filtered with additional filters; Noise free images are then compared for movement detection. Images with movement are stored on SD card. Additional information: Devices captures and stores all flying objects. Data are accessible through LAN port. We use OpenCv for image analysis. Device is used for sky movement detection of small objects, birds. After detection, it can create acoustic signal to scare them away. This minimizes bird impact in Agriculture and it prevents bird-plane collisions on airports. This paper describes in more detail not only the entire detection algorithm, but also the results of the test algorithm.
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Gamification of line-follower robot videorecordings
Soboňa, Tomáš ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This bacheor’s thesis is concerned with the processing of a vehicle’s trajectory following a black line located on an unchanging white background, and subsequently comparing of the quality of each vehicle’s covered distance on this trajectory. The first part of the thesis describes the theory for recognizing the track, individual graphic tags, as well as detection of important points in the picture and their correlation with points in another picture, for which an algorithm SIFT is used. The second part deals with the description of the program, which was created as part of this work, its classes and methods. The program is written in Python, for image processing is used mainly an open source library OpenCV and, to a lesser extent, the NumPy library. Finally, the results are concluded at the end of the thesis.
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Camera Security System with Raspberry Pi Minicomputer
Vitula, Marek ; Kubíček, Michal (referee) ; Kolouch, Jaromír (advisor)
This bachelor thesis describes a design of a camera surveillance system on the Raspbery Pi platform that can be controlled remotely and powered by a solar panel. It includes a description of the individual components to be used and also deals with the design of the application for motion detection using a camera and PIR motion sensor output and the following image processing and storage on cloud.
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