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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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Speckle Tracking Echocardiography
Strecha, Juraj ; Drahanský, Martin (referee) ; Mráček, Štěpán (advisor)
he thesis deals with proposal of an algorithm and implementation of a program that tracks a motion of the heart muscle in the captured ultrasound video of the heart. The point position estimation is calculated by optical flow method. The Active Shape Model method is used to confirm the accuracy of point's position tracking. The user annotates desired structure of the heart arch first and the application displays new points which represent a new deformed heart shape.
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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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Automatic Segmentation of Cardiac Tissue Movement from Ultrasound Record
Munzar, Milan ; Orság, Filip (referee) ; Mráček, Štěpán (advisor)
This thesis describes design and implementation of method, which determines beginning of heart beats in echocardiographic record. Design of this method is built around pyramidal Lucas-Kanade algorithm and fast Fourier transform. This method is implemented in C++ language with OpenCV and FFTW libraries. Analysis of the implementation has shown, that this method is sensitive to anomalies in echocardiographic record. This method is developed as a part of the project for an analysis of echocardiographic records for st. Anna hospital at Brno.
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Tracking and Recognition of People in Video
Šajboch, Antonín ; Hradiš, Michal (referee) ; Smrž, Pavel (advisor)
The master's thesis deals with detecting and tracking people in the video. To get optimal recognition was used convolution neural network, which extracts vector features from the enclosed frame the face. The extracted vector is further classified. Recognition process must take place in a real time and also with respect are selected optimal methods. There is a new dataset faces, which was obtained from a video record at the faculty area. Videos and dataset were used for experiments to verify the accuracy of the created system. The recognition accuracy is about 85% . The proposed system can be used, for example, to register people, counting passages or to report the occurrence of an unknown person in a building.
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Optic flow software module design
Grulich, Jan ; Růžička, Michal (referee) ; Věchet, Stanislav (advisor)
This bachelor thesis is focused on the analysis of optical flow. The first part is dedicated to the theoretical analysis of the motion of image features. Especially important is finding quality features that can be tracked in a videosequence. Detailed mathematical description of the necessary algorithms is presented. The second part describes the software and its functions with the implemented algorithms. The main function is determining the distance of an object from the camera based on its velocity. Empirical tests of this function are presented.
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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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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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AeroWorks: Visual Identification of Aircraft Flight Regimes
Kardoš, Juraj ; Dittrich, Petr (referee) ; Chudý, Peter (advisor)
This Bachelor thesis deals with the visual identification of an aircraft flight's regimes. It describes the spatial motion of an airplane along with the visualization of flight parameters and also proposes a system for a flight regime visual identification. The system processes the input video on a frame by frame basis in two steps. Initially, the video is being stabilized and the system subsequently proceeds in identification of flight related quantities describing the current flight state. Video stabilization is based on feature points detection and an optical flow calculation. Video frames are transformed in order to achieve sufficient consecutive frames overlap and thus to minimize the parasitic oscillations of the video acquisition system. Identification of values indicated by flight instruments is based on the Hough line transform approach. The thesis also includes a description of an application that analyzes a video from the cockpit of an aircraft and is able to recognize the instrument values displayed on specified flight instruments.
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Detection of parts of human body in an image
Křivánek, Filip ; Přinosil, Jiří (referee) ; Šmirg, Ondřej (advisor)
This thesis deals with algorithms for human figure detection in video. It describes, practically tests and evaluates algorithms called Histogram of Oriented Gradients and Haar Cascade Classifier. Testing program was written in C++ language with use of OpenCV library. The aim is to find the approximate location of individual body parts in the area of the detected human figure. The detection was tested on a video sequence and various image processing methods were selected. Techniques such as thresholding, background subtraction, finding the largest of contours or optical flow were employed. The result of thesis is to find points which represent concrete body part.
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