149 search results - page 4 / 30 » Robust Incremental Subspace Learning for Object Tracking |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
APWEB
2005
Springer
14 years 1 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
ICIP
2009
IEEE
13 years 5 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...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...