DocumentCode
2562475
Title
A framework for camera pose tracking using stochastic data fusion
Author
Moemeni, Armaghan ; Tatham, Eric
Author_Institution
Dept. of Media Technol., De Montfort Univ., Leicester, UK
fYear
2010
fDate
21-23 Dec. 2010
Firstpage
1
Lastpage
7
Abstract
A novel camera pose tracking system using a stochastic inertial-visual sensor fusion has been proposed. A method based on the Particle Filtering concept has been adapted for inertial and vision data fusion, which benefits from the agility of inertial-based tracking and robustness of vision-based camera tracking.
Keywords
augmented reality; cameras; computer vision; particle filtering (numerical methods); pose estimation; sensor fusion; stochastic processes; tracking; augmented reality; camera pose tracking system; inertial-based tracking; particle filtering concept; stochastic data fusion; stochastic inertial-visual sensor fusion; vision data fusion; vision-based camera tracking; Acceleration; Accelerometers; Angular velocity; Cameras; Filtering; Games; Tracking; augmented reality; camera pose tracking; inertial-visual sensor fusion; particle filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Games Innovations Conference (ICE-GIC), 2010 International IEEE Consumer Electronics Society's
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-7178-2
Electronic_ISBN
978-1-4244-7179-9
Type
conf
DOI
10.1109/ICEGIC.2010.5716876
Filename
5716876
Link To Document