138 search results - page 1 / 28 » Visual Tracking with Online Multiple Instance Learning |
CVPR
2009
IEEE
15 years 4 days ago
2009
IEEE
In this paper, we address the problem of learning an
adaptive appearance model for object tracking. In particular,
a class of tracking techniques called “tracking by detection...
CVPR
2010
IEEE
14 years 18 days ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
PAMI
2011
12 years 7 months ago
2011
In this paper we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques cal...
CVPR
2010
IEEE
14 years 20 days ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...