A framework for camera pose tracking using stochastic data fusion

Moemeni, A; Tatham, E

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.

Citation

Moemeni, A., & Tatham, E. (2010, December). A framework for camera pose tracking using stochastic data fusion. Presented at 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference (ICE-GIC 2010), Hong Kong, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference (ICE-GIC 2010)
• Start Date: Dec 21, 2010
• End Date: Dec 23, 2010
• Online Publication Date: Feb 22, 2011
• Publication Date: 2010-12
• Deposit Date: Jul 21, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2166-675X
• Book Title: 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference
• ISBN: 9781424471782
• DOI: https://doi.org/10.1109/icegic.2010.5716876
• Public URL: https://nottingham-repository.worktribe.com/output/4781111
• Publisher URL: https://ieeexplore.ieee.org/document/5716876