107 search results - page 11 / 22 » Articulated Object Tracking via a Genetic Algorithm |
GECCO
2007
Springer
14 years 26 days ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
CVPR
2008
IEEE
14 years 8 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 ...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Fusing partial estimates is a critical and common problem
in many computer vision tasks such as part-based detection
and tracking. It generally becomes complicated and
intractab...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
ICMCS
2007
IEEE
14 years 1 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...