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Augmented Reality and Object Tracking for Mobile Devices
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Engineering Cybernetics.
2012 (English)MasteroppgaveStudent thesis
Abstract [en]

In Augmented Reality, computer generated information can assist the user with 'invisible' information about real world objects. In this thesis, the possibilities for Augmented Reality on mobile devices will be investigated, and Object Tracking is identied as a vital functionality. In the existing so- lutions, position- and orientation-based tracking is most common, however, this project will approach vision-based tracking, which is a wide research area in the eld of Computer Vision. The chosen object tracker, is the prize-awarded algorithm TLD, which together with the recently released FastCVlibrary, makes up the functionality in the nal presented application. Theapplication is tested with regard to memory and processing time, and it is observed from the experiments, that the Detector module in TLD domi- nates the processing time. Nonetheless, the nal Object Tracker performs as intended and decent frame rates is obtained by reducing the size of the camera image frame. For further work, the processing time could be reduced even more, possibly by making a longer interval between each run with the detector module. Also the possibility to save object models and use them later on should be explored. This would be useful in an Augmented Reality application, where the objects usually is predetermined.

Place, publisher, year, edition, pages
Institutt for teknisk kybernetikk , 2012. , 97 p.
Keyword [no]
ntnudaim:7071, MTTK teknisk kybernetikk, Robotteknikk
URN: urn:nbn:no:ntnu:diva-18791Local ID: ntnudaim:7071OAI: diva2:566268
Available from: 2012-11-08 Created: 2012-11-08

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