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Distributed control of attention
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2005 (English)In: ATTENTION AND PERFORMANCE IN COMPUTATIONAL VISION / [ed] Paletta, L; Tsotsos, JK; Rome, E; Humphreys, G, 2005, Vol. 3368, 1-15 p.Conference paper, Published paper (Refereed)
Abstract [en]

Detection 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.

Place, publisher, year, edition, pages
2005. Vol. 3368, 1-15 p.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 3368
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-42744ISI: 000228101200001Scopus ID: 2-s2.0-24144485399ISBN: 3-540-24421-2 (print)OAI: oai:DiVA.org:kth-42744DiVA: diva2:447943
Conference
2nd International Workshop on Attention and Performance in Computational Vision Location: Czech Tech Univ Prague, Prague, CZECH REPUBLIC Date: MAY 15, 2004
Note
QC 20111013Available from: 2011-10-13 Created: 2011-10-12 Last updated: 2011-10-13Bibliographically approved

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Citation style
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