664 search results - page 38 / 133 » A Probabilistic Background Model for Tracking |
113
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ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
TNN
2008
14 years 11 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
133
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ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
104
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ICCV
1998
IEEE
16 years 1 months ago
1998
IEEE
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
IROS
2006
IEEE
15 years 5 months ago
2006
IEEE
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...