149 search results - page 23 / 30 » Robust Incremental Subspace Learning for Object Tracking |
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
CVPR
2010
IEEE
14 years 28 days ago
2010
IEEE
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
CRV
2011
IEEE
12 years 8 months ago
2011
IEEE
—When reconstructing a specific type or class of object using stereo, we can leverage prior knowledge of the shape of that type of object. A popular class of object to reconstru...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...