149 search results - page 2 / 30 » Robust Incremental Subspace Learning for Object Tracking |
ECCV
2004
Springer
14 years 7 months ago
2004
Springer
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
CVPR
2008
IEEE
14 years 7 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 ...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
IJON
2010
13 years 3 months ago
2010
In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage o...