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Evaluation of image processing methods for flying object tracking using drone
Daniš, Stanislav ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The bachelor thesis was focused on the evaluation of tracking algorithms contained in the OpenCV library against the motion blur effect. A dataset of videos was created with defined ranges of selected parameters that influenced the motion blur effect (speed, distance from the object, position of light and others). Each of the videos was processed using a tracking algorithm. From these results, findings on the effectiveness of each of the algorithms for a defined situation were formulated in the conclusion.
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Raspberry Pi: programming by means of Matlab/Simulink
Dadej, Vincent ; Švarc, Ivan (referee) ; Matoušek, Radomil (advisor)
The diploma thesis focuses on programming in the Matlab for the Raspberry Pi 3 platform. For the purpose of the presentation, there are two applications designed for Raspberry Pi that are using available hardware, camera and servos. The first application serves as colour object detecting and accurate tracking by using camera calibration. The second application serves as a face detection and recognition. These applications are implemented by modern methods and knowledge of computer vision. Tracking of the objects and face recognition are verified by an experiment that reveals the accuracy of the used methods.
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Finding of known object in a series of digital images
Bednařík, Jan ; Hasmanda, Martin (referee) ; Číka, Petr (advisor)
The aim of the thesis is detection of a known object in series of pictures. Detection is divided into two methods. First method is based on edge and color detection and comparison. Edge detection is based on detection using both Gradient and Laplacian, so on the first-order and the second-order derivative. Sobel operators were used as well as Laplacian of gaussian method. Thresholding is also used as well as autothreshold calculation. There are two variants of color detection considered in the thesis, direct color comparison and detection based on interest color search. The second part of the thesis is based on interested point detection using a modified SURF method to detect a known object in series of pictures.
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Evaluation of image processing methods for flying object tracking using drone
Daniš, Stanislav ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The bachelor thesis was focused on the evaluation of tracking algorithms contained in the OpenCV library against the motion blur effect. A dataset of videos was created with defined ranges of selected parameters that influenced the motion blur effect (speed, distance from the object, position of light and others). Each of the videos was processed using a tracking algorithm. From these results, findings on the effectiveness of each of the algorithms for a defined situation were formulated in the conclusion.
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|
|
Raspberry Pi: programming by means of Matlab/Simulink
Dadej, Vincent ; Švarc, Ivan (referee) ; Matoušek, Radomil (advisor)
The diploma thesis focuses on programming in the Matlab for the Raspberry Pi 3 platform. For the purpose of the presentation, there are two applications designed for Raspberry Pi that are using available hardware, camera and servos. The first application serves as colour object detecting and accurate tracking by using camera calibration. The second application serves as a face detection and recognition. These applications are implemented by modern methods and knowledge of computer vision. Tracking of the objects and face recognition are verified by an experiment that reveals the accuracy of the used methods.
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|
|
Finding of known object in a series of digital images
Bednařík, Jan ; Hasmanda, Martin (referee) ; Číka, Petr (advisor)
The aim of the thesis is detection of a known object in series of pictures. Detection is divided into two methods. First method is based on edge and color detection and comparison. Edge detection is based on detection using both Gradient and Laplacian, so on the first-order and the second-order derivative. Sobel operators were used as well as Laplacian of gaussian method. Thresholding is also used as well as autothreshold calculation. There are two variants of color detection considered in the thesis, direct color comparison and detection based on interest color search. The second part of the thesis is based on interested point detection using a modified SURF method to detect a known object in series of pictures.
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