64 search results - page 3 / 13 » Probabilistic Tracking with Adaptive Feature Selection |
CVPR
2005
IEEE
13 years 11 months ago
2005
IEEE
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
TIP
2008
13 years 6 months ago
2008
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
MICCAI
2007
Springer
14 years 9 days ago
2007
Springer
The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation...
ICIP
2000
IEEE
14 years 7 months ago
2000
IEEE
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...