79 search results - page 6 / 16 » Robust Object Tracking with Online Multiple Instance Learnin... |
AMFG
2005
IEEE
14 years 1 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...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
WACV
2012
IEEE
12 years 3 months ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...