93 search results - page 3 / 19 » Nonlinear Mean Shift for Robust Pose Estimation |
SETN
2010
Springer
13 years 3 months ago
2010
Springer
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
SIP
2007
13 years 6 months ago
2007
This work deals with the problem of backgroundforeground segmentation in video scenes. We propose an approach that makes use of feature extraction and matching, robust estimation,...
CVPR
2005
IEEE
14 years 7 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...
IROS
2009
IEEE
13 years 11 months ago
2009
IEEE
— Robot vision has a lot to win as well with wide field of view induced by catadioptric cameras as with redundancy brought by stereovision. Merging these two characteristics in ...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...