OpenCV-based Marker Tracking in Moving Environment

OData support
Supervisor:
Dr. Blázovics László
Department of Automation and Applied Informatics

This thesis gives an overview of the problems of image processing and computer vision genarally, and also during the demonstration of the solution of a specific problem, it gives a thorough description of some of the tools.

Because of the continuous increase of computing capacity, computer vision is getting more and more widespread, so in the practice, one solves an increasing number of problems with it. That is the reason, why it is very important to get familiar with the existing methods and tools, and the way one can use them.

The thesis covers the general issues of marker tracking, in particular by describing the existing markers, and by comparing the existing tracking methods.

This paper also goes into details about the open source library named OpenCV, and its tools. It analyzes its structure, its services, and the potential uses of it.

The methods of computer vision are demonstrated through a project, whose goal is to follow a predetermined formation – a so called marker – . During this I also compare some of the possible filtering and thresholding methods.

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