The subject of this undergraduate thesis is a theoretical description of the operation of motion tracking systems and the practical application of motion tracking. The aim of the paper was to research, analyze and apply the methods and principles of operation of motion tracking systems. Almost every motion tracking system starts with the detection of features and movements in the image. In order to have quality motion tracking, it is important to collect relevant, concrete and accurate data from video content using methods described in the paper. The goal of motion tracking is to separate and track the desired and appropriate areas of moving objects from the background images, i.e. to extract relevant information from the images (the video material consists of a sequence of images at a certain speed). Relevant data collected by the methods described in the paper can be further integrated into creative processes such as video manipulation (stabilization, object moving, 3D model projection), as well as adding 3D scenes or characters to video, which is often used in the film industry. In the practical part of the paper, I will present and describe my example and the way of its integration. The paper is based in the open source program Blender 2.92. The paper describes: 1. Motion tracking systems, i.e. tracking algorithms 2. Detailed description of tools, procedures and different methods of motion tracking in Blender 2.92 3. Practical example and defining the application - integration analysis