330 search results - page 1 / 66 » Robust Visual Tracking using L1 Minimization |
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...
CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
Recently sparse representation has been applied to visual tracker by modeling the target appearance using a sparse approximation over a template set, which leads to the so-called ...
CVPR
2010
IEEE
13 years 2 months ago
2010
IEEE
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...