Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Vision in the real world: Finding, attending and recognizing objects
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-0579-3372
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2006 (English)In: International journal of imaging systems and technology (Print), ISSN 0899-9457, E-ISSN 1098-1098, Vol. 16, no 5, 189-208 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we discuss the notion of a seeing system that uses vision to interact with its environment. The requirements on such a system depend on the tasks it is involved in and should be evaluated with these in mind. Here we consider the task of finding and recognizing objects in the real world. After a discussion of the needed functionalities and issues about the design we present an integrated real-time vision system capable of finding, attending and recognizing objects in real settings. The system is based on a dual set of cameras, a wide field set for attention and a foveal one for recognition. The continuously running attentional process uses top-down object characteristics in terms of hue and 3D size. Recognition is performed with objects of interest foveated and segmented from its background. We describe the system structure as well as the different components in detail and present experimental evaluations of its overall performance.

Place, publisher, year, edition, pages
2006. Vol. 16, no 5, 189-208 p.
Keyword [en]
robot vision, recognition, visual search, real-time vision, head eye platform, epipolar geometry, visual-attention, scene analysis, stereo, recognition, algorithm, search, motion, image
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-16269DOI: 10.1002/ima.20087ISI: 000245258200007Scopus ID: 2-s2.0-34247163964OAI: oai:DiVA.org:kth-16269DiVA: diva2:334311
Note
QC 20100525 QC 20111003Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2017-12-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Björkman, Mårten

Search in DiVA

By author/editor
Björkman, MårtenEklundh, Jan-Olof
By organisation
Computer Vision and Active Perception, CVAP
In the same journal
International journal of imaging systems and technology (Print)
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 61 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf