|
|
Moving object tracking
Sehnoutka, Martin ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This thesis deals with application of computer vision for purposes of object tracking in a video record. In first part of this document, algorithms of computer vision are described theoretically. Next part contains design of map of movement in a scene. All these procedures were used during implementation of program for tracking of moving objects. Discussion of program functionality is in the last chapter.
|
|
|
Determining motion using accelerometer data
Montilla, Michaela ; Koťová, Markéta (referee) ; Janoušek, Oto (advisor)
The aim of this thesis is to present the topic of acceleration record using accelerometer sensors and to create a program for the transformation of the acceleration data into the position vector. It is a summary of theoretical background of data recording using sensors of acceleration and an overview of the physical relationships between acceleration, velocity and position. The data was recorded by multiple types of sensors. The gist of the algorithm is a mathematical realization of physical relations modifying the conversion of acceleration to the position. The outcome enables to display a dynamic graphic output in 3-D.
|
|
| |
|
|
Simple Gesture Recognition
Verner, Jan ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
This bachelor thesis describes usability of DTW algorithm and it's variants for simple hand gesture detection. It recapitulates actual situation and findings in branch of computer vision and aims on methods for hand gesture recognition and common description of DTW algorithm.
|
|
|
Searching for Points of Interest in Raster Image
Kaněčka, Petr ; Sumec, Stanislav (referee) ; Herout, Adam (advisor)
This document deals with an image points of interest detection possibilities, especially corner detectors. Many applications which are interested in computer vision needs these points as their necessary step in the image processing. It describes the reasons why it is so useful to find these points and shows some basic methods to find them. There are compared features of these methods at the end.
|
|
|
Determining motion using accelerometer data
Montilla, Michaela ; Koťová, Markéta (referee) ; Janoušek, Oto (advisor)
The aim of this thesis is to present the topic of acceleration record using accelerometer sensors and to create a program for the transformation of the acceleration data into the position vector. It is a summary of theoretical background of data recording using sensors of acceleration and an overview of the physical relationships between acceleration, velocity and position. The data was recorded by multiple types of sensors. The gist of the algorithm is a mathematical realization of physical relations modifying the conversion of acceleration to the position. The outcome enables to display a dynamic graphic output in 3-D.
|
|
|
Moving object tracking
Sehnoutka, Martin ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This thesis deals with application of computer vision for purposes of object tracking in a video record. In first part of this document, algorithms of computer vision are described theoretically. Next part contains design of map of movement in a scene. All these procedures were used during implementation of program for tracking of moving objects. Discussion of program functionality is in the last chapter.
|
|
|
Simple Gesture Recognition
Verner, Jan ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
This bachelor thesis describes usability of DTW algorithm and it's variants for simple hand gesture detection. It recapitulates actual situation and findings in branch of computer vision and aims on methods for hand gesture recognition and common description of DTW algorithm.
|
|
|
Searching for Points of Interest in Raster Image
Kaněčka, Petr ; Sumec, Stanislav (referee) ; Herout, Adam (advisor)
This document deals with an image points of interest detection possibilities, especially corner detectors. Many applications which are interested in computer vision needs these points as their necessary step in the image processing. It describes the reasons why it is so useful to find these points and shows some basic methods to find them. There are compared features of these methods at the end.
|
|
| |
guest ::
