233 search results - page 2 / 47 » A Probabilistic Framework for Combining Tracking Algorithms |
IROS
2006
IEEE
13 years 11 months ago
2006
IEEE
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
ICRA
2009
IEEE
13 years 2 months ago
2009
IEEE
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
ICIAP
2007
ACM
13 years 11 months ago
2007
ACM
Tracking is usually performed at a single level of data resolution. This paper describes a multi-resolution tracking framework developed with efficiency and robustness in mind. E...