79 search results - page 3 / 16 » Robust Object Tracking with Online Multiple Instance Learnin... |
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
BMVC
2010
13 years 3 months ago
2010
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
CVPR
2009
IEEE
15 years 27 days ago
2009
IEEE
Feature misalignment in object detection refers to
the phenomenon that features which re up in some
positive detection windows do not re up in other pos-
itive detection windo...
TIP
2008
13 years 5 months ago
2008
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
ICIP
2009
IEEE
13 years 3 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...