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» Robust Online Appearance Models for Visual Tracking
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CVPR
2003
IEEE
14 years 11 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
ICCV
2001
IEEE
14 years 10 months ago
A Co-inference Approach to Robust Visual Tracking
Visual trackan,g cou,ld be treeted as a param,eter estim.ation. problem, of target representastionbased on observations in im,age sequ.ences. A rich,er target represen,tation, wou...
Ying Wu, Thomas S. Huang
ICPR
2000
IEEE
14 years 10 months ago
Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets
This paper deals with active tracking of 3D moving targets. Visual tracking is presented as a regulation control problem. The performance and robustness in visual control of motio...
Helder Araújo, João P. Barreto, Jorg...
ICPR
2008
IEEE
14 years 10 months ago
Parametric video compression using appearance space
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods...
Santanu Chaudhury, Subarna Tripathi, Sumantra Dutt...
ISMAR
2009
IEEE
14 years 3 months ago
Augmenting text document by on-line learning of local arrangement of keypoints
We propose a technique for text document tracking over a large range of viewpoints. Since the popular SIFT or SURF descriptors typically fail on such documents, our method conside...
Hideaki Uchiyama, Hideo Saito