DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Byung-Gyu | ko |
dc.contributor.author | Park, Dong-Jo | ko |
dc.date.accessioned | 2013-03-04T18:49:43Z | - |
dc.date.available | 2013-03-04T18:49:43Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2004-05 | - |
dc.identifier.citation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E87D, no.5, pp.1271 - 1275 | - |
dc.identifier.issn | 0916-8532 | - |
dc.identifier.uri | http://hdl.handle.net/10203/83697 | - |
dc.description.abstract | A novel thresholding algorithm for change detection in video sequences is proposed. The method is based on image differencing and the intensity distribution of a difference image. With a difference image between two consecutive images, we prepare a new image model for the distribution of stationary pixels. The distribution of moving pixels is then separated by extracting the distribution of stationary pixels from the overall distribution of the difference image. Pixels that exhibit a significant change in intensity are classified using a likelihood criterion. The proposed algorithm is tested on the standard MPEG sequences and verified to have reliable performance. | - |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | Novel thresholding algorithm for change detection in video sequence | - |
dc.type | Article | - |
dc.identifier.wosid | 000221445100028 | - |
dc.identifier.scopusid | 2-s2.0-2642519708 | - |
dc.type.rims | ART | - |
dc.citation.volume | E87D | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 1271 | - |
dc.citation.endingpage | 1275 | - |
dc.citation.publicationname | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.contributor.localauthor | Park, Dong-Jo | - |
dc.contributor.nonIdAuthor | Kim, Byung-Gyu | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | image difference | - |
dc.subject.keywordAuthor | change detection | - |
dc.subject.keywordAuthor | adaptive thresholding | - |
dc.subject.keywordAuthor | image model | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.