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» A visual odometry framework robust to motion blur
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CVPR
2005
IEEE
14 years 7 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
CVPR
2010
IEEE
13 years 9 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
ICCV
2003
IEEE
14 years 7 months ago
Real-Time Simultaneous Localisation and Mapping with a Single Camera
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than ...
Andrew J. Davison
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
13 years 11 months ago
Tracking Unobservable Rotations by Cue Integration
— Model based object tracking has earned significant importance in areas such as augmented reality, surveillance, visual servoing, robotic object manipulation and grasping. Alth...
Ville Kyrki, Danica Kragic
PAMI
2010
242views more  PAMI 2010»
13 years 4 months ago
Spatiotemporal Saliency in Dynamic Scenes
—A spatiotemporal saliency algorithm based on a center-surround framework is proposed. The algorithm is inspired by biological mechanisms of motion-based perceptual grouping and ...
Vijay Mahadevan, Nuno Vasconcelos