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Visual object tracking
Prítel, Pavol ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
The thesis deals with detection of moving objects in image sequence. The target of this thesis is a design of object detection algorithm and its application in vehicle counting. The thesis is divided into three parts. The first part of this thesis includes theoretical analysis of given problem. The second part is related to the design and implementation of the algorithm. The third part deals with evaluation of results of the implemented algorithm.
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Visual head motion monitoring
Sieber, Lukáš ; Babinec, Tomáš (referee) ; Richter, Miloslav (advisor)
This bachelor thesis is based on finding of head rotation and position against stationary shoulders from frames captured by web camera in real time. Furthermore the thesis adverts to benefits of using Open CV. It is also included some Open CV function overview, such as optical flow, 3D-2D points corresponding calculation and among others operations with rotation matrix. The end of this thesis provides outcomes evaluation and future work proposals.
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Visual head motion monitoring
Sieber, Lukáš ; Babinec, Tomáš (referee) ; Richter, Miloslav (advisor)
This bachelor thesis is based on finding of head rotation and position against stationary shoulders from frames captured by web camera in real time. Furthermore the thesis adverts to benefits of using Open CV. It is also included some Open CV function overview, such as optical flow, 3D-2D points corresponding calculation and among others operations with rotation matrix. The end of this thesis provides outcomes evaluation and future work proposals.
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Computer Application Control by Natural Head Movement
Vojvoda, Jakub ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to design and implement a system that tracks user's head in the input video frames and on the basis of its position achieves interaction with computer applications. Four methods for head detection have been proposed based on computer vision techniques as face detection by Haar-like features, background detection, Camshift or Lucas-Kanade to calculate an optical flow. The individual methods have been tested on recorded and in this field used data sets, and evaluated. The implementation of the system was then used to build the demo applications.
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Real Time Suppression of Atmospheric Turbulence
Macků, Jiří ; Orság, Filip (referee) ; Marvan, Aleš (advisor)
This paper deals with removing undesirable image deformations caused by turbulences of Earth's atmosphere. The goal is to design and implement algorithm for suppression of atmosphere turbulence in video sequences to use in long-distance camera monitoring system. This paper also focuses on optimization of existing algorithms for running in real-time. Algorithm will be implemented in C++ programming language with use of library for computer vision OpenCV.
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Mouse-Less Keyboard-Less Human-Computer Interaction
Jaroň, Lukáš ; Mlích, Jozef (referee) ; Beran, Vítězslav (advisor)
In this Bachelor thesis are described suggestions of ways you can control the computer without a mouse and keyboard, just motion of hand, and user interfaces. Then there is the theory describes tools used to develop experimental applications that simulate the proposed interface. And the entire development cycle from problem analysis, specification and implementation, to testing of final application. The result of this work is the interface, that can recognize eight different hand movements and use them as input to the system.
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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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Computer Interface Based on User's Head Position
Chmiel, Filip ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
This paper presents the method for a head pose and orientation detection based on computer vision techniques. The method is based on the AdaBoost approach for initial face recognition and the optical flow technique for further object tracking. The detection results are further interpreted and stabilized. The method is designed for usage in designing and building the innovative user interfaces.
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Object Tracking in a Sequence of Images
Švancar, Boris ; Doležel, Michal (referee) ; Orság, Filip (advisor)
The bachelor thesis deals with motion detection and object tracking in video sequence from static and dynamic cameras. The background subtraction method along with using of background updating and Lucas-Kanade optical flow method are introduced in my thesis as well. Both methods are implemented in the test application in the language C++ using OpenCV and Qt libraries and consequently both of them are tested. The results are evaluated in conclusion of the bachelor thesis.
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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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