CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
The paper describes a simple but robust framework for visual object tracking in a video sequence. Compared with the existing tracking techniques, our proposed tracking technique h...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multicl...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
A fundamental issue in differential motion analysis is the compromise between the flexibility of the matching criterion for image regions and the ability of recovering the motion....
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...