71 search results - page 4 / 15 » Incremental Learning for Robust Visual Tracking |
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
110
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ECCV
2008
Springer
14 years 11 months ago
2008
Springer
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
BVAI
2007
Springer
15 years 3 months ago
2007
Springer
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
101
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IJRR
2010
14 years 4 months ago
2010
We propose a particle filtering-based visual tracker, in which the affine group is treated as the state. We first develop a general particle filtering algorithm that explicitly tak...