Publication
Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
dc.contributor.author | Lopes, Nuno Vieira | |
dc.contributor.author | Couto, Pedro A. | |
dc.contributor.author | Bustince, Humberto | |
dc.contributor.author | Melo-Pinto, Pedro | |
dc.date.accessioned | 2018-09-26T08:32:53Z | |
dc.date.available | 2018-09-26T08:32:53Z | |
dc.date.issued | 2009-09 | |
dc.description.abstract | Feature tracking is one of the most challenging and important tasks in computer vision playing an important role in several areas. In this paper, a new approach for multi feature tracking is presented. Information from the image gray levels and the features movement model is aggregated through the use of fuzzy sets with a fuzzy inference engine to give the final output. Experimental results are presented showing that the approach successfully copes with usual difficulties within this problem. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.8/3552 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.subject | Computer vision | pt_PT |
dc.subject | Feature tracking | pt_PT |
dc.subject | Fuzzy logic | pt_PT |
dc.title | Fuzzy Dynamic Matching Approach for Multi-Feature Tracking | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Pamplona | pt_PT |
oaire.citation.endPage | 250 | pt_PT |
oaire.citation.startPage | 245 | pt_PT |
oaire.citation.title | Proceedings of EUROFUSE 2009 Workshop: Preference modelling and decision analysis | pt_PT |
person.familyName | Vieira Lopes | |
person.givenName | Nuno | |
person.identifier.ciencia-id | E117-67AC-0B45 | |
person.identifier.orcid | 0000-0002-2232-1839 | |
person.identifier.scopus-author-id | 26031536700 | |
rcaap.rights | closedAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 0d39fc9c-397b-4d8a-857a-3d4da42277a6 | |
relation.isAuthorOfPublication.latestForDiscovery | 0d39fc9c-397b-4d8a-857a-3d4da42277a6 |