Visual tag recognition for indoor positioning

Abstract: In recent years, camera-equipped mobile devices have undergone significant  evelopments due to increasing computational power as well as reduction of manufacturing unit costs. This has allowed for the development of new stateof- the-art applications, such as object analysis and detection. The focus of this thesis is the detection of visual markers which can be used in various applications such as positioning systems, object tracking and ‘Augmented Reality’. More specifically, the work has been motivated by ongoing research in indoor positioning, where global satellite navigation systems are not reliable enough. The goal is to develop a new visual tag detector, that is both simple and reliable. In the report the necessary background for understanding the development of the detector, as well as a detailed analysis of the current detectors, will be presented. Moreover, through an analysis of the current available image processing tools, we will present the proposed detector. Finally, in order to give a better overview of the system developed, complexity and performance results are presented, ending with some conclusions and suggested further lines of work.