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» Algorithmic Fusion for More Robust Feature Tracking
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ISMAR
2008
IEEE
15 years 4 months ago
Dynamic gyroscope fusion in Ubiquitous Tracking environments
Ubiquitous Tracking (Ubitrack) setups, consisting of many previously unknown sensors, offer many possibilities to perform sensor fusion in order to increase robustness and accurac...
Daniel Pustka, Gudrun Klinker
CVPR
2005
IEEE
15 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICPR
2004
IEEE
15 years 10 months ago
Fusion of Vision, 3D Gyro and GPS for Camera Dynamic Registration
This paper presents a novel framework of hybrid camera pose tracking system for outdoor navigation system. Traditional vision based or inertial sensor based solutions are mostly d...
Francisco Lamosa, Hanqing Lu, Keiichi Uchimura, Zh...
ICIP
2009
IEEE
14 years 7 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
ICCV
2007
IEEE
15 years 11 months ago
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. ...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys