256 search results - page 1 / 52 » Adaptive object tracking by learning background context |
122
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CVPR
2012
IEEE
13 years 20 days ago
2012
IEEE
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
81
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
89
Voted
BMVC
2010
14 years 8 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...
101
Voted
NIPS
2004
14 years 11 months ago
2004
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
80
Voted
CVPR
1998
IEEE
16 years 7 days ago
1998
IEEE
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...