150 search results - page 4 / 30 » Probabilistic Classification Between Foreground Objects and ... |
ECCV
2004
Springer
16 years 1 months ago
2004
Springer
This paper introduces a new concept of surveillance, namely, audio-visual data integration for background modelling. Actually, visual data acquired by a fixed camera can be easily ...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
106
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MICCAI
2008
Springer
16 years 26 days ago
2008
Springer
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
94
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ECCV
2000
Springer
16 years 1 months ago
2000
Springer
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
113
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...