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- W1496846292 abstract "AbstractDetection of objects is in general a computationally demanding task. To simplify the problem it is of interest to focus the attention to a set of regions of interest. Indoor environments often have large homogeneous textured objects, such as walls and furniture. In this paper we present a model which detects large homogeneous regions and uses this information to search for targets that are smaller in size. Homogeneity is detected by a number of different descriptors and a coalition technique is used to achieve robustness. Expectations about size allow for constraint object search. The presented model is evaluated in the context of a table top scenario.KeywordsInterest PointCoalition FormationBackground RegionNegotiation SchemeConjunction SearchThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1496846292 created "2016-06-24" @default.
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- W1496846292 date "2005-01-01" @default.
- W1496846292 modified "2023-09-25" @default.
- W1496846292 title "Distributed Control of Attention" @default.
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- W1496846292 doi "https://doi.org/10.1007/978-3-540-30572-9_1" @default.
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