DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, JS | ko |
dc.contributor.author | Kim, DJ | ko |
dc.contributor.author | Park, Dong-Jo | ko |
dc.date.accessioned | 2013-03-02T21:24:32Z | - |
dc.date.available | 2013-03-02T21:24:32Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2000-12 | - |
dc.identifier.citation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E83D, no.12, pp.2142 - 2151 | - |
dc.identifier.issn | 0916-8532 | - |
dc.identifier.uri | http://hdl.handle.net/10203/75592 | - |
dc.description.abstract | A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts; clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking. | - |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.subject | OPTICAL-FLOW ESTIMATION | - |
dc.subject | PRECISION TRACKING | - |
dc.subject | SEGMENTATION | - |
dc.subject | ALGORITHM | - |
dc.subject | SENSORS | - |
dc.subject | MOTION | - |
dc.title | Robust centroid target tracker based on new distance features in cluttered image sequences | - |
dc.type | Article | - |
dc.identifier.wosid | 000166143700014 | - |
dc.identifier.scopusid | 2-s2.0-0034508269 | - |
dc.type.rims | ART | - |
dc.citation.volume | E83D | - |
dc.citation.issue | 12 | - |
dc.citation.beginningpage | 2142 | - |
dc.citation.endingpage | 2151 | - |
dc.citation.publicationname | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.contributor.localauthor | Park, Dong-Jo | - |
dc.contributor.nonIdAuthor | Cho, JS | - |
dc.contributor.nonIdAuthor | Kim, DJ | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | centroid tracker | - |
dc.subject.keywordAuthor | distance feature | - |
dc.subject.keywordAuthor | target segmentation | - |
dc.subject.keywordAuthor | Bayes decision rule | - |
dc.subject.keywordPlus | OPTICAL-FLOW ESTIMATION | - |
dc.subject.keywordPlus | PRECISION TRACKING | - |
dc.subject.keywordPlus | SEGMENTATION | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | SENSORS | - |
dc.subject.keywordPlus | MOTION | - |
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