2167 search results - page 32 / 434 » Learning with Drift Detection |
76
Voted
TIP
2008
14 years 9 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...
105
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CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
123
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WACV
2012
IEEE
13 years 5 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...
85
Voted
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
93
Voted
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...