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Height Measurement in Digital Image
Olejár, Adam ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
The aim of this paper is a summary of the theory necessary for a modification, detection of person and the height calculation of the detected person in the image. These information were then used for implementation of the algoritm. The first half reveals teoretical problems and solutions. Shows the basic methods of image preprocessing and discusses the basic concepts of plane and projective geometry and transformations. Then describes the distortion, that brings into the picture imperfections of optical systems of cameras and the possibilities of removing them. Explains HOG algorithm and the actual method of calculating height of person detected in the image. The second half describes algoritm structure and statistical evaluation.
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Speed Measurement of Vehicles from Surveillance Camera
Jaklovský, Samuel ; Juránek, Roman (referee) ; Sochor, Jakub (advisor)
This master's thesis is focused on fully automatic calibration of traffic surveillance camera, which is used for speed measurement of passing vehicles. Thesis contains and describes theoretical information and algorithms related to this issue. Based on this information and algorithms, a comprehensive system design for automatic calibration and speed measurement was built. The proposed system has been successfully implemented. The implemented system is optimized to process the smallest portion of the video input for the automatic calibration of the camera. Calibration parameters are obtained after processing only two and half minutes of input video. The accuracy of the implemented system was evaluated on the dataset BrnoCompSpeed. The speed measurement error using the automatic calibration system is 8.15 km/h. The error is mainly caused by inaccurate scale acquisition, and when it is replaced by manually obtained scale, the error is reduced to 2.45 km/h. The speed measuring system itself has an error of only 1.62 km/h (evaluated using manual calibration parameters).
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Automatic Traffic Camera Calibration for Vehicle Speed Measurement
Nociar, Marián ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with design and development of a system for Automatic Traffic Camera Calibration for Vehicle Speed Measurement. The thesis contains a theoretical introduction to the camera calibration, describes the principles of the methods used in the implementation and displays the proposed solution that was implemented in Python3 using OpenCV and NumPy libraries. The achieved results were evaluated over the BrnoCompSpeed dataset with the average speed measurement error reaching 6.71 km/h.
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Movement Identification in the Space
Šolony, Marek ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
The aim of this paper is to suggest optical system capable of movement identification in space and its reconstruction. The motion capture system uses markers attached to parts of human body, and a camera pair to capture the movement. This paper describes step-by-step parts of this system. Epipolar geometry is used to deal with problem of object correspondence between two views.
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Automatic Traffic Camera Calibration for Vehicle Speed Measurement
Nociar, Marián ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with design and development of a system for Automatic Traffic Camera Calibration for Vehicle Speed Measurement. The thesis contains a theoretical introduction to the camera calibration, describes the principles of the methods used in the implementation and displays the proposed solution that was implemented in Python3 using OpenCV and NumPy libraries. The achieved results were evaluated over the BrnoCompSpeed dataset with the average speed measurement error reaching 6.71 km/h.
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Speed Measurement of Vehicles from Surveillance Camera
Jaklovský, Samuel ; Juránek, Roman (referee) ; Sochor, Jakub (advisor)
This master's thesis is focused on fully automatic calibration of traffic surveillance camera, which is used for speed measurement of passing vehicles. Thesis contains and describes theoretical information and algorithms related to this issue. Based on this information and algorithms, a comprehensive system design for automatic calibration and speed measurement was built. The proposed system has been successfully implemented. The implemented system is optimized to process the smallest portion of the video input for the automatic calibration of the camera. Calibration parameters are obtained after processing only two and half minutes of input video. The accuracy of the implemented system was evaluated on the dataset BrnoCompSpeed. The speed measurement error using the automatic calibration system is 8.15 km/h. The error is mainly caused by inaccurate scale acquisition, and when it is replaced by manually obtained scale, the error is reduced to 2.45 km/h. The speed measuring system itself has an error of only 1.62 km/h (evaluated using manual calibration parameters).
|
|
|
Movement Identification in the Space
Šolony, Marek ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
The aim of this paper is to suggest optical system capable of movement identification in space and its reconstruction. The motion capture system uses markers attached to parts of human body, and a camera pair to capture the movement. This paper describes step-by-step parts of this system. Epipolar geometry is used to deal with problem of object correspondence between two views.
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|
|
Height Measurement in Digital Image
Olejár, Adam ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
The aim of this paper is a summary of the theory necessary for a modification, detection of person and the height calculation of the detected person in the image. These information were then used for implementation of the algoritm. The first half reveals teoretical problems and solutions. Shows the basic methods of image preprocessing and discusses the basic concepts of plane and projective geometry and transformations. Then describes the distortion, that brings into the picture imperfections of optical systems of cameras and the possibilities of removing them. Explains HOG algorithm and the actual method of calculating height of person detected in the image. The second half describes algoritm structure and statistical evaluation.
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