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Videodetection - traffic monitoring
Kozina, Lubomír ; Beszédeš,, Marián (referee) ; Honec, Peter (advisor)
In this master’s thesis on the topic Videodetection - traffic monitoring I was engaged in searching moving objects in traffic images sequence. There are described various methods background model computation and moving vehicles marking, counting or velocity calculating in the thesis. It was created a graphical user interface for traffic scene evaluation in MATLAB.
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Gestural Interface for Computer Control
Burdík, Vojtěch ; Beneš, Radek (referee) ; Přinosil, Jiří (advisor)
This work focuses on the relatively new computer branch – a computer vision. Work is concentrated on object recognition, localization and reaction to specific movements. The aim is to build a program that will be able to use hand movements to control computer, to the gesture as defined by the fingers and palms respond and make it the event. The objective should be achieved without the use of special sensors or more cameras, but only with one common webcam. For the image processing function from OpenCV library were used and program was built. Evaluation of function is based on functional verification in practice, evaluation of speed, accuracy and quality of object recognition. Following the scheme, how could program for gestural controlling the computer should look, was created, and then his realization in a simple program was made. This program is able to recognize the object in an image, in this case a hand, and through an evaluation of its movements control cursor on a computer with a possibility of simulation pressing the left mouse button. Program continuously allows the documents to scroll horizontal and vertical direction. The program is very robust and work with him is very simple.
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Measuring of Vehicle Instant Velocity
Štencel, Jakub ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The theoretical part of this paper summarizes the methods for motion analysis in an image. Inspected in detail are the methods used for motion detection in the image sequences. The practical part is focused on finding the significant points in the image (the targeting reticles on the body of the vehicle) which are then used to calculate the speed of the vehicle.
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Path monitoring
Sedlařík, Jan ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
This bachelor's thesis deals with path monitoring theme. To successful accomplishment of this task it is right to have the high-quality videos. It is imperative to concentrate to their correct scanning and preprocessing. Detection of objects and their monitoring are one of the most elementary parts of the challenge. Important part of image separation is edge detection.
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Target tracking
Černín, Jan ; Horák, Karel (referee) ; Janáková, Ilona (advisor)
The subject of this bachelor thesis was to program an algorithm, which would be able to process image data from connected camera. Real-time application is working with data in basic of evaluated position of the object and control robotic head that turns and follows selected target. Whole algorithm implements two methods of tracking which are written in program language C/C++ using functions of OpenCV library.
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Smoke and Fire Detection in Video Sequences
Tomek, Peter ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis aims to analyse a videosignal given in input and find segments that contains fire or smoke. The problem is divided into two cases-detection of fire and detection of smoke. The first and main step of analysation is detection of segments by Gaussian mixture model that is trained by Expectation-Maximization algorithm, or shortly EM algorithm. For smoke detection is than used method of optical flow. The final segments are than processed by some morphological methods and determination of their position is made. Finally, the output of algorithm is again a videosignal in which segments that probably contains fire or smoke are highlighted.
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RoboAuto - Detection of Moving Objects
Štibinger, Petr ; Žák, Pavel (referee) ; Juránek, Roman (advisor)
In this work is possible to find out something about detection of moving objects from moving camera. Method that was used is MTI (moving target indication), which is used for detection from air and can be applied on ground vehicles. Introduced will be work with SURF (for detection of interesting points in image) and histograms (for detection moving objects).
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Image Registration from Static UAV Platform for Ground Objects Localization
Kučera, Adam ; Luža, Radim (referee) ; Rozman, Jaroslav (advisor)
This paper describes development of new robust method for video registration into shared space. Then it is possible to georegister this video to satellite image using single arbitrary frame. Developed high-level method is based on state-of-the-art low-level image processing algorithms. It is robust to huge and/or instant changes in lighting conditions of the scene and changes in geometry of the view. Global error problem is converted to shortest path optimization problem. Local error is minimized via fusion of two approaches to video stabilization.
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Crowd Behavior Anomaly Detection in Drone Videodata
Bažout, David ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
There have been lots of new drone applications in recent years. Drones are also often used in the field of national security forces. The aim of this work is to design and implement a tool intended for crowd behavior analysis in drone videodata. This tool ensures identification of suspicious behavior of persons and facilitates its localization. The main benefits include the design of a suitable video stabilization algorithm to stabilize small jitters, as well as trace back of the lost scene. Furthermore, two anomaly detectors were proposed, differing in the method of feature vector extraction and background modeling. Compared to the state of the art approaches, they achieved comparable results, but at the same time they brought the possibility of online data processing.
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