Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/11100
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zeljković, Vesna | en |
dc.contributor.author | Dorado A. | en |
dc.contributor.author | Trpovski, Željen | en |
dc.contributor.author | Izquierdo E. | en |
dc.date.accessioned | 2020-03-03T14:42:57Z | - |
dc.date.available | 2020-03-03T14:42:57Z | - |
dc.date.issued | 2004-02-05 | en |
dc.identifier.issn | 135194 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/11100 | - |
dc.description.abstract | A technique that improves precision in classification results using information extracted from video features is introduced. It combines fuzzy rule-based classification with the detection of changing regions in outdoor scenes. The approach is invariant to extreme illumination changes. | en |
dc.relation.ispartof | Electronics Letters | en |
dc.title | Classification of building images in video sequences | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1049/el:20040128 | en |
dc.identifier.scopus | 2-s2.0-1242276294 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/1242276294 | en |
dc.relation.lastpage | 171 | en |
dc.relation.firstpage | 169 | en |
dc.relation.issue | 3 | en |
dc.relation.volume | 40 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
2
checked on Nov 20, 2023
Page view(s)
27
Last Week
15
15
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.