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- W2143733806 abstract "A Bayesian approach to object localisation is feasible given suitable likelihood models for image observations. Such a likelihood involves statistical modelling - and learning - both of the object foreground and of the scene background. Statistical background models are already quite well understood. Here we propose a “conditioned likelihood” model for the foreground, conditioned on variations both in object appearance and illumination. Its effectiveness in localising a variety of objects is demonstrated." @default.
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- W2143733806 date "2000-01-01" @default.
- W2143733806 modified "2023-09-23" @default.
- W2143733806 title "Statistical Foreground Modelling for Object Localisation" @default.
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- W2143733806 doi "https://doi.org/10.1007/3-540-45053-x_20" @default.
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