Feature Point Classification Based Global Motion Estimation for Video Stabilization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Seung-Kyun | - |
dc.contributor.author | Kang, Seok-Jae | - |
dc.contributor.author | Wang, Tae-Shick | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.date.accessioned | 2021-09-06T04:32:12Z | - |
dc.date.available | 2021-09-06T04:32:12Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2013-02 | - |
dc.identifier.issn | 0098-3063 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/103997 | - |
dc.description.abstract | The performance of video stabilization is dependent on the accuracy of global motion estimation between two successive frames. In this paper, we propose a novel method to estimate the global motion accurately using the classified background (BG) feature points (FPs). In the proposed method, global motion estimation and FP classification are jointly performed using both the FP correspondences and the global motion parameters of the previous frame. The experimental results show that video stabilization using the proposed method outperforms the conventional stabilization methods, especially when the moving foreground (FG) objects occupy a large part of the image(1). | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | DIGITAL IMAGE STABILIZATION | - |
dc.subject | ALGORITHMS | - |
dc.title | Feature Point Classification Based Global Motion Estimation for Video Stabilization | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Sung-Jea | - |
dc.identifier.doi | 10.1109/TCE.2013.6490269 | - |
dc.identifier.scopusid | 2-s2.0-84876154011 | - |
dc.identifier.wosid | 000317665000036 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.59, no.1, pp.267 - 272 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.title | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.volume | 59 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 267 | - |
dc.citation.endPage | 272 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | DIGITAL IMAGE STABILIZATION | - |
dc.subject.keywordPlus | ALGORITHMS | - |
dc.subject.keywordAuthor | Feature point classification | - |
dc.subject.keywordAuthor | global motion estimation | - |
dc.subject.keywordAuthor | video stabilization | - |
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