256 search results - page 26 / 52 » Adaptive object tracking by learning background context |
73
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Visual surveillance applications such as object identification, object tracking, and anomaly detection require reliable motion detection as an initial processing step. Such a dete...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
122
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CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
111
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CVPR
2012
IEEE
13 years 2 days ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...