28 search results - page 1 / 6 » Graph Based Discriminative Learning for Robust and Efficient... |
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
WACV
2012
IEEE
12 years 15 days ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
In object tracking, change of object aspect is a cause of failure due to significant changes of object appearances. The paper proposes an approach to this problem without a priori ...