Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Bio-inspired Metaheuristic based Visual Tracking and Ego-motion Estimation
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kommunikationssystem.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kommunikationssystem.ORCID-id: 0000-0003-4327-117X
2014 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The problem of robust extraction of ego-motion from a sequence of images for an eye-in-hand camera configuration is addressed. A novel approach toward solving planar template based tracking is proposed which performs a non-linear image alignment and a planar similarity optimization to recover camera transformations from planar regions of a scene. The planar region tracking problem as a motion optimization problem is solved by maximizing the similarity among the planar regions of a scene. The optimization process employs an evolutionary metaheuristic approach in order to address the problem within a large non-linear search space. The proposed method is validated on image sequences with real as well as synthetic image datasets and found to be successful in recovering the ego-motion. A comparative analysis of the proposed method with various other state-of-art methods reveals that the algorithm succeeds in tracking the planar regions robustly and is comparable to the state-of-the art methods. Such an application of evolutionary metaheuristic in solving complex visual navigation problems can provide different perspective and could help in improving already available methods.

Ort, förlag, år, upplaga, sidor
SCITEPRESS , 2014.
Nyckelord [en]
Camera Tracking, Visual Odometry, Planar Template based Tracking, Particle Swarm Optimization.
Nationell ämneskategori
Signalbehandling Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-6478DOI: 10.5220/0004811105690579Lokalt ID: oai:bth.se:forskinfo4BBA2C8A69DD0B45C1257DAF004F8A63OAI: oai:DiVA.org:bth-6478DiVA, id: diva2:833991
Konferens
International Conference on Pattern Recognition Applications and Methods (ICPRAM), Angers, France
Tillgänglig från: 2014-12-17 Skapad: 2014-12-15 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Personposter BETA

Siddiqui, RafidKhatibi, Siamak

Sök vidare i DiVA

Av författaren/redaktören
Siddiqui, RafidKhatibi, Siamak
Av organisationen
Institutionen för kommunikationssystem
SignalbehandlingDatavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 155 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf