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282
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Extremely crowded scenes present unique challenges to
video analysis that cannot be addressed with conventional
approaches. We present a novel statistical framework for
modeling...
232
Voted
ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...
184
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Background subtraction algorithms define the background
as parts of a scene that are at rest. Traditionally,
these algorithms assume a stationary camera, and identify
moving obj...
180
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
230
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ECCV
2008
Springer
16 years 11 months ago
2008
Springer
We propose a novel tracking algorithm based on the Wang-Landau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conventional ...