Video Local Pattern based Image Matching for Visual Mapping

dc.contributor.authorWang, Lei
dc.contributor.authorLi, Hongdong
dc.contributor.authorHartley, Richard
dc.coverage.spatialHong Kong
dc.date.accessioned2015-12-13T23:04:02Z
dc.date.available2015-12-13T23:04:02Z
dc.date.createdAugust 20-24 2006
dc.date.issued2006
dc.date.updated2015-12-12T07:53:00Z
dc.description.abstractImage matching plays an important role in visual mapping, a critical task of vision based mobile robot navigation. Based on the observation that the visual content in these video sequences generally changes in a slow and continuous mode, a concept of "video local pattern" is proposed to model each video frame, which is defined as a set of frames that are visuallysimilar and temporally-adjacent to that frame. Instead of manually labelling, a tracking based method is developed to automatically detect the local pattern for each frame. A model is then estimated from a local pattern, and the matching of images is performed by comparing these models. Experimental results demonstrated its improvement over that comparing individual frames.
dc.identifier.isbn0769525210
dc.identifier.urihttp://hdl.handle.net/1885/85190
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesInternational Conference on Pattern Recognition (ICPR 2006)
dc.sourceProceedings of the 18th International Conference on Pattern Recognition
dc.source.urihttp://ieeexplore.ieee.org/iel5/11159/35817/01698811.pdf?isnumber=35817&prod=CNF&http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=35817&isYear=2006
dc.subjectKeywords: Mobile robot navigation; Video local patterns; Video sequences; Visual mapping; Mathematical models; Mobile robots; Parameter estimation; Pattern recognition; Image matching
dc.titleVideo Local Pattern based Image Matching for Visual Mapping
dc.typeConference paper
local.bibliographicCitation.lastpage70
local.bibliographicCitation.startpage67
local.contributor.affiliationWang, Lei, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4056952@anu.edu.au
local.contributor.authoruidWang, Lei, u4259382
local.contributor.authoruidLi, Hongdong, u4056952
local.contributor.authoruidHartley, Richard, u4022238
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationMigratedxPub13451
local.identifier.doi10.1109/ICPR.2006.1171
local.identifier.scopusID2-s2.0-34147190866
local.identifier.uidSubmittedByMigrated
local.type.statusPublished Version

Downloads

Back to topicon-arrow-up-solid
 
APRU
IARU
 
edX
Group of Eight Member

Acknowledgement of Country

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.


Contact ANUCopyrightDisclaimerPrivacyFreedom of Information

+61 2 6125 5111 The Australian National University, Canberra

TEQSA Provider ID: PRV12002 (Australian University) CRICOS Provider Code: 00120C ABN: 52 234 063 906