DocumentCode
2730211
Title
Vision-based user tracking for outdoor augmented reality
Author
Bostanci, Erkan ; Clark, Adrian F. ; Kanwal, Nadia
Author_Institution
Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear
2012
fDate
1-4 July 2012
Abstract
This paper examines the use of vision-based localization techniques for indoor environments in outdoor environments. A new method is presented for robust data association and finding camera trajectory; based on these, a simple augmented reality game is implemented.
Keywords
SLAM (robots); augmented reality; cameras; computer vision; sensor fusion; user interfaces; augmented reality game; camera trajectory; data association; indoor environment; outdoor augmented reality; outdoor environment; simultaneous localisation and mapping; vision-based SLAM; vision-based localization technique; vision-based user tracking; Augmented reality; Cameras; Feature extraction; Games; Robustness; Simultaneous localization and mapping; Augmented Reality; Outdoor User Tracking; Visual SLAM;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Communications (ISCC), 2012 IEEE Symposium on
Conference_Location
Cappadocia
ISSN
1530-1346
Print_ISBN
978-1-4673-2712-1
Electronic_ISBN
1530-1346
Type
conf
DOI
10.1109/ISCC.2012.6249356
Filename
6249356
Link To Document