365 search results - page 7 / 73 » Visual Tracking Using Learned Linear Subspaces |
118
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ICIP
2005
IEEE
15 years 11 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...
KDD
2008
ACM
15 years 9 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
IEAAIE
1998
Springer
15 years 1 months ago
1998
Springer
Abstract. In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is...
NIPS
2004
14 years 10 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
131
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CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...