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» Map-Based Multiple Model Tracking of a Moving Object
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CVPR
2010
IEEE
15 years 1 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak
CVPR
2009
IEEE
16 years 8 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...
MVA
2002
123views Computer Vision» more  MVA 2002»
15 years 29 days ago
Pose Estimation for Insertion of Orbital Replacement Units Against Cluttered Background Using a Non-calibrated Camera
In this paper, we present work from our ongoing project on vision-guided retrieval and insertion of ORUs. Guidance is to be provided through estimated relative poses between an OR...
Chiun-Hong Chien
PAMI
2010
265views more  PAMI 2010»
14 years 11 months ago
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
—In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this proble...
Shankar Rao, Roberto Tron, René Vidal, Yi M...
ECCV
2010
Springer
15 years 6 months ago
 5D Motion Subspaces for Planar Motions
In practice, rigid objects often move on a plane. The object then rotates around a fixed axis and translates in a plane orthogonal to this axis. For a concrete example, think of a ...
Roland Angst, Marc Pollefeys