664 search results - page 56 / 133 » A Probabilistic Background Model for Tracking |
ICIP
1994
IEEE
16 years 1 months ago
1994
IEEE
In this paper, we develop a Bayesian feedback method for incorporating global structure into prior models for binocular stereopsis. Since most stereo scenes contain either backgro...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
BMCBI
2005
14 years 11 months ago
2005
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
121
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ICIP
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we give a probabilistic model for automatic change detection on airborne images taken with moving cameras. To ensure robustness, we adopt an unsupervised coarse mat...
112
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CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...