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
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;
Conference_Titel :
Computers and Communications (ISCC), 2012 IEEE Symposium on
Conference_Location :
Cappadocia
Print_ISBN :
978-1-4673-2712-1
Electronic_ISBN :
1530-1346
DOI :
10.1109/ISCC.2012.6249356
