365 search results - page 2 / 73 » Visual Tracking Using Learned Linear Subspaces |
ECCV
2004
Springer
14 years 6 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,...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
ICCV
1999
IEEE
13 years 9 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern(data) selection method as preprocessing. Generally, a training set for subspa...