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Object detection
Strašek, Petr ; Davídek, Daniel (referee) ; Richter, Miloslav (advisor)
This thesis solves the problem of detecting contrast subjects, assessing their symmetry and limit states. For this purpose, a database of photographs had been created, that were used for testing algorithms. The thesis also describes the specific implementation of these algorithms and their results.
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Object detection
Strašek, Petr ; Davídek, Daniel (referee) ; Richter, Miloslav (advisor)
This thesis solves the problem of detecting contrast subjects, assessing their symmetry and limit states. For this purpose, a database of photographs had been created, that were used for testing algorithms. The thesis also describes the specific implementation of these algorithms and their results.
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Image based road surface segmentation with lane detection
Turoň, Rudolf ; Honec, Peter (referee) ; Zemčík, Tomáš (advisor)
This bachelor thesis deals with road semantic segmentation with lane lines detection. The aim of the thesis is to conduct a survey of methods used for general segmentation and lane lines detection, collect a representative dataset for testing, design a data processing system including implementation for semantic segmentation and detection of lanes in image, video and live camera input. In preprocessing phase images are filtered using morphological transformations. The segmentation is performed using the watershed method with labels, and an adaptive algorithm is designed to find the labels. The lanes are searched for in the thresholded projectively transformed image using the sliding window technique. As a result, a segmentation accuracy of 88.3% is achieved based on the IoU metric. The thesis concludes with a discussion of the obtained results and summarizes the possibilities for further improvements of the system.
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Visualization of Crowd Behavior Analysis Using Drone Videodata
Dobeš, Zdeněk ; Španěl, Michal (referee) ; Bažout, David (advisor)
The purpose of this work is to design and implement an user interface for visualizing videodata from a drone. The document consists of a description of the construction of a design until its implementation in the form of a web application. It uses the Django application framework, the React web framework and variety of APIs with Google Map API at the top. It aims to create an intuitive environment for monitoring sectors on a map with drones and offers useful tools to make it easier.
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Visualization of Crowd Behavior Analysis Using Drone Videodata
Dobeš, Zdeněk ; Španěl, Michal (referee) ; Bažout, David (advisor)
The purpose of this work is to design and implement an user interface for visualizing videodata from a drone. The document consists of a description of the construction of a design until its implementation in the form of a web application. It uses the Django application framework, the React web framework and variety of APIs with Google Map API at the top. It aims to create an intuitive environment for monitoring sectors on a map with drones and offers useful tools to make it easier.
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|
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Image based road surface segmentation with lane detection
Turoň, Rudolf ; Honec, Peter (referee) ; Zemčík, Tomáš (advisor)
This bachelor thesis deals with road semantic segmentation with lane lines detection. The aim of the thesis is to conduct a survey of methods used for general segmentation and lane lines detection, collect a representative dataset for testing, design a data processing system including implementation for semantic segmentation and detection of lanes in image, video and live camera input. In preprocessing phase images are filtered using morphological transformations. The segmentation is performed using the watershed method with labels, and an adaptive algorithm is designed to find the labels. The lanes are searched for in the thresholded projectively transformed image using the sliding window technique. As a result, a segmentation accuracy of 88.3% is achieved based on the IoU metric. The thesis concludes with a discussion of the obtained results and summarizes the possibilities for further improvements of the system.
|
|
|
Object detection
Strašek, Petr ; Davídek, Daniel (referee) ; Richter, Miloslav (advisor)
This thesis solves the problem of detecting contrast subjects, assessing their symmetry and limit states. For this purpose, a database of photographs had been created, that were used for testing algorithms. The thesis also describes the specific implementation of these algorithms and their results.
|
|
|
Object detection
Strašek, Petr ; Davídek, Daniel (referee) ; Richter, Miloslav (advisor)
This thesis solves the problem of detecting contrast subjects, assessing their symmetry and limit states. For this purpose, a database of photographs had been created, that were used for testing algorithms. The thesis also describes the specific implementation of these algorithms and their results.
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