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CORR
2011
Springer
222views Education» more  CORR 2011»
14 years 9 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
CVPR
2000
IEEE
16 years 7 months ago
Segmenting Visual Actions Based on Spatio-Temporal Motion Patterns
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
Yong Rui, P. Anandan
CVPR
2003
IEEE
1110views Computer Vision» more  CVPR 2003»
16 years 7 months ago
Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach
Producing an accurate motion flow field is very difficult at motion boundaries. We present a novel, noniterative approach for segmentation from image motion, based on two voting p...
Gérard G. Medioni, Mircea Nicolescu
CVPR
2004
IEEE
16 years 7 months ago
Motion Segmentation with Missing Data Using PowerFactorization and GPCA
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...
René Vidal, Richard I. Hartley
ICCV
2005
IEEE
16 years 7 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...