180 search results - page 13 / 36 » Optical Flow Estimation Using Learned Sparse Model |
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
CVIU
2007
14 years 9 months ago
2007
We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow...
92
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
90
Voted
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
94
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...