17 search results - page 1 / 4 » Adaptive Probabilistic Visual Tracking with Incremental Subs... |
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,...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
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...
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 ...
NIPS
2004
13 years 6 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...