256 search results - page 30 / 52 » Adaptive object tracking by learning background context |
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
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ICCV
1995
IEEE
15 years 1 months ago
1995
IEEE
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
IAT
2010
IEEE
14 years 7 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
ICIP
2008
IEEE
15 years 4 months ago
2008
IEEE
Dynamical shape priors are curical for level set-based nonrigid object tracking with noise, occlusions or background clutter. In this paper, we propose a level set tracking framew...