365 search results - page 6 / 73 » Visual Tracking Using Learned Linear Subspaces |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
CRV
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper presents a template-based algorithm to track and recognize athlete’s actions in an integrated system using only visual information. Conventional template-based action...
ICONIP
2009
14 years 7 months ago
2009
In this paper, we introduce a novel incremental subspace based object tracking algorithm. The two major contributions of our work are the Robust PCA based occlusion handling scheme...
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...