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CVPR
2010
IEEE
14 years 2 days ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof
DICTA
2009
13 years 6 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
CVPR
2000
IEEE
14 years 7 months ago
Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences
Scene ow is the 3D motion eld of points in the world. Given N (N > 1) image sequences gather ed with a N-eye stereo camera or N calibrated cameras, we present a novel system wh...
Ye Zhang, Chandra Kambhamettu
ICIP
2008
IEEE
14 years 7 months ago
Hybrid tracking approach using optical flow and pose estimation
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...
Éric Marchand, Étienne Mémin,...
IJCV
2000
195views more  IJCV 2000»
13 years 5 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas