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
Qualitative Multi-Scale Feature Hierarchies for Object Tracking
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
2000 (English)In: Journal of Visual Communication and Image Representation, ISSN 1047-3203, E-ISSN 1095-9076, Vol. 11, 115-129 p.Article in journal (Refereed) Published
Abstract [en]

This paper shows how the performance of feature trackers can be improved by building a view-based object representation consisting of qualitative relations between image structures at different scales. The idea is to track all image features individually, and to use the qualitative feature relations for resolving ambiguous matches and for introducing feature hypotheses whenever image features are mismatched or lost. Compared to more traditional work on view-based object tracking, this methodology has the ability to handle semi-rigid objects and partial occlusions. Compared to trackers based on three-dimensional object models, this approach is much simpler and of a more generic nature. A hands-on example is presented showing how an integrated application system can be constructed from conceptually very simple operations.

Place, publisher, year, edition, pages
Elsevier, 2000. Vol. 11, 115-129 p.
Keyword [en]
object representation, tracking, feature detection, scale selection, motion, matching, shape analysis, applications, scale-space, multi-scale representation, computer vision
National Category
Computer Vision and Robotics (Autonomous Systems) Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-40147DOI: 10.1006/jvci.1999.0438OAI: oai:DiVA.org:kth-40147DiVA: diva2:465689
Note

Earlier version presented in M. Nielsen, P. Johansen, O. F. Olsen and J. Weickert (eds.) Proc. 2nd International Conference on Scale-Space Theories in Computer Vision, (Corfu, Greece), September 26-27, 1999. Springer Lecture Notes in Computer Science, vol 1682, pp. 117--128. QC 20111215

Available from: 2011-12-15 Created: 2011-09-13 Last updated: 2017-12-08Bibliographically approved

Open Access in DiVA

fulltext(340 kB)52 downloads
File information
File name FULLTEXT01.pdfFile size 340 kBChecksum SHA-512
32179fef49125de778684168b6fd391c3e2c6fd1197557d274afe74450930b968b0b4c01501883ce6fe6437bbad673d8459c8dbadd16bbeea39ddd3fd03502fb
Type fulltextMimetype application/pdf

Other links

Publisher's full textAt authors' home pageSciencedirect

Authority records BETA

Lindeberg, Tony

Search in DiVA

By author/editor
Bretzner, LarsLindeberg, Tony
By organisation
Numerical Analysis and Computer Science, NADA
In the same journal
Journal of Visual Communication and Image Representation
Computer Vision and Robotics (Autonomous Systems)Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 52 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 123 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