Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/7608
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dc.contributor.authorGrbić, Tatjanaen_US
dc.contributor.authorJovanović, Aleksandaren_US
dc.contributor.authorMedić, Slavicaen_US
dc.contributor.authorPerović, Aleksandaren_US
dc.date.accessioned2019-09-30T09:03:11Z-
dc.date.available2019-09-30T09:03:11Z-
dc.date.issued2014-01-01-
dc.identifier.isbn9783319115801en_US
dc.identifier.issn03029743en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/7608-
dc.description.abstract© Springer International Publishing Switzerland 2014. We present a short overview of the portion of our work in the analysis of biological, acoustic, sonar and radar signals, with particular emphasis on the feature extraction using modified Kanade-Shi-Tomasi procedure and the application of Kalman filters. Developed methodology is illustrated with several examples.en
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.titleA note on feature extraction based on Kanade-Shi-Tomasi procedure and Kalman filtersen_US
dc.typeConference Paperen_US
dc.identifier.scopus2-s2.0-84910072693-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84910072693-
dc.description.versionUnknownen_US
dc.relation.lastpage73en
dc.relation.firstpage66en
dc.relation.volume8773en
local.message.claim2023-11-17T22:39:33.511+0100|||rp01328|||submit_approve|||publication-claimed-requested|||dc_contributor_author|||*
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za opšte discipline u tehnici-
crisitem.author.deptFakultet tehničkih nauka, Departman za opšte discipline u tehnici-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFakultet tehničkih nauka-
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