Augmented Reality and Object Tracking for Mobile Devices
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.
ntnudaim:7071, MTTK teknisk kybernetikk, Robotteknikk
IdentifiersURN: urn:nbn:no:ntnu:diva-18791Local ID: ntnudaim:7071OAI: oai:DiVA.org:ntnu-18791DiVA: diva2:566268
Onshus, Tor Engebret, Professor