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Time Lapse from Stationary Camera Image
Turek, Lukáš ; Bařina, David (referee) ; Herout, Adam (advisor)
The topic of this master's thesis is the time lapse from stationary camera images. Unwanted phenomena, which arise in time lapse, were analyzed and algorithms to overcome these limitations were designed. The algorithms were implemented and compared using the captured dataset. The resulting application creates time lapse from the video input and allows users to choose the processing technique including the setting of appropriate parameters.
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Visual Geolocation of a Stationary Camera
Šimurda, Pavel ; Španěl, Michal (referee) ; Herout, Adam (advisor)
Tato práce se zabývá a analyzuje možnosti, kterými je možno zjistit geografickou polohu ze snímků nebo videa pouze za použití vizuální informace z obrazu. Výsledkem práce jsou dvě rozdílné metody geo-lokalizace. První z nich pracuje na principu hledání časů východu a západu Slunce. Hlavní výhodou této metody je její univerzálnost. Funguje s jakoukoliv kamerou umístěnou v externích prostorech a nevyžaduje přítomnost žádných specifických objektů ve scéně. Pro správný výsledek je třeba alespoň celodenní záznam z kamery. Výsledky jsou uspokojivé za každého počasí. Druhá metoda pracuje na základě analýzy stínů ve scéně. Správnou pozici je možno určit, s poměrně velkou přesností, pouze na základě dvou snímků pořízených v různém čase. Tato metoda vyžaduje přítomnost dvou objektů v obraze, které vrhají stín. Přesnosti výsledků navržených metod jsou vyhodnoceny a porovnány. Z výsledků vyplývá, že obě metody lze úspěšně použít pro odhad geografické polohy. Dále byla v rámci práce pořízena rozsáhlá datová sada obrazových sekvencí z volně přístupných webových kamer.
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Time Lapse from Stationary Camera Image
Ficková, Andrea ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design a system which minimizes or even eliminates the restrictions of time-lapse video captured by a stationary camera. I focused on the three of these restrictions, that I had the opportunity to observe: restless objects, abrupt illumination changes, and undesirable objects. The appearance of restrictions spoils the impression of video and causes a distraction for the object of observation. Within this thesis I designed and implemented a system that can process a captured video stored in the computer and capture time-lapse video from a video stream. The goal of the designed system is to apply one of the algorithms to the corresponding restriction. The main result is the production of a time-lapse video, which will be more pleasant for their observers to watch.
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Vehicle Speed Measurement by a Stationary Camera
Juřica, Tomáš ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
This Bachelor's thesis deals with the problematic of car speed measurement from video footage captured by a stationary camera. Development of a tool focused on reaching maximum accuracy of measurements with minimal user effort has been covered in this work. Perception of scene dimensions is acquired by using known points in the scene, which are manually marked. The influence of the way of annotating car position and input video quality on maximal reachable accuracy has also been discussed in this work.
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Augmented Reality Using Video from a Stationary Camera
Tinka, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
The goal of this thesis is to provide an interactive scene editor prototype as a way to compensate for the limited static object recognition capabilities of the fixed-camera-based approaches to augmented reality. The final result is an editor developed in the Unity game engine, which can be used to create simple objects and output of which is Unity project compatible.
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Recognition of Weather in an Outdoor Stationary Camera View
Jenčo, Michal ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis deals with classification of weather from stationary outdoor camera images with a landscape view. It classifies fog, clear, partly cloudy and overcast weather in particular. The problem was solved by computing five image flags and using machine learning. Hit rate of 95% was achieved with only small variances between weather types. The main finding of this work is that it is possible to successfully differentiate between the selected weather types with the chosen set of simple image flags. The implementation of this system enables plotting a graph of weather progression during a chosen day.
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Time Lapse from Stationary Camera Image
Ficková, Andrea ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design a system which minimizes or even eliminates the restrictions of time-lapse video captured by a stationary camera. I focused on the three of these restrictions, that I had the opportunity to observe: restless objects, abrupt illumination changes, and undesirable objects. The appearance of restrictions spoils the impression of video and causes a distraction for the object of observation. Within this thesis I designed and implemented a system that can process a captured video stored in the computer and capture time-lapse video from a video stream. The goal of the designed system is to apply one of the algorithms to the corresponding restriction. The main result is the production of a time-lapse video, which will be more pleasant for their observers to watch.
|
|
|
Time Lapse from Stationary Camera Image
Turek, Lukáš ; Bařina, David (referee) ; Herout, Adam (advisor)
The topic of this master's thesis is the time lapse from stationary camera images. Unwanted phenomena, which arise in time lapse, were analyzed and algorithms to overcome these limitations were designed. The algorithms were implemented and compared using the captured dataset. The resulting application creates time lapse from the video input and allows users to choose the processing technique including the setting of appropriate parameters.
|
|
|
Vehicle Speed Measurement by a Stationary Camera
Juřica, Tomáš ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
This Bachelor's thesis deals with the problematic of car speed measurement from video footage captured by a stationary camera. Development of a tool focused on reaching maximum accuracy of measurements with minimal user effort has been covered in this work. Perception of scene dimensions is acquired by using known points in the scene, which are manually marked. The influence of the way of annotating car position and input video quality on maximal reachable accuracy has also been discussed in this work.
|
|
|
Recognition of Weather in an Outdoor Stationary Camera View
Jenčo, Michal ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis deals with classification of weather from stationary outdoor camera images with a landscape view. It classifies fog, clear, partly cloudy and overcast weather in particular. The problem was solved by computing five image flags and using machine learning. Hit rate of 95% was achieved with only small variances between weather types. The main finding of this work is that it is possible to successfully differentiate between the selected weather types with the chosen set of simple image flags. The implementation of this system enables plotting a graph of weather progression during a chosen day.
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