422 search results - page 21 / 85 » Online Selection of Tracking Features using AdaBoost |
101
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ICPR
2002
IEEE
15 years 2 months ago
2002
IEEE
Reliably tracking key points and textured patches from frame to frame is the basic requirement for many bottomup computer vision algorithms. The problem of selecting the features ...
3DPVT
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...
102
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KDD
2012
ACM
12 years 12 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
104
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
122
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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...