293 search results - page 1 / 59 » Object tracking by bidirectional learning with feature selec... |
ICIP
2009
IEEE
13 years 8 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
ICPR
2008
IEEE
15 years 1 days ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
CVPR
2007
IEEE
15 years 26 days ago
2007
IEEE
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
AMFG
2005
IEEE
14 years 4 months ago
2005
IEEE
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
ICIP
2009
IEEE
14 years 12 months ago
2009
IEEE
Most of the state-of-the-art tracking algorithms are prone to error when dealing with occlusions, especially when the involved moving objects are hardly discernible in appearance....