365 search results - page 1 / 73 » Visual Tracking Using Learned Linear Subspaces |
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper presents a simple but robust visual tracking algorithm based on representing the appearances of objects using affine warps of learned linear subspaces of the image spac...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
COLT
2006
Springer
13 years 8 months ago
2006
Springer
We address the problem of online de-noising a stream of input points. We assume that the clean data is embedded in a linear subspace. We present two online algorithms for tracking ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...