| Identity statement area | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Identifier | 6qtX3pFwXQZG2LgkFdY/LLsMS |
| Repository | sid.inpe.br/sibgrapi@80/2006/07.15.21.50 |
| Last Update | 2006:07.15.21.50.25 administrator |
| Metadata | sid.inpe.br/sibgrapi@80/2006/07.15.21.50.26 |
| Metadata Last Update | 2020:02.19.03.17.38 administrator |
| Citation Key | LaraHira:2006:MoSeUs |
| Title | Motion segmentation using mathematical morphology  |
| Format | On-line |
| Year | 2006 |
| Access Date | 2021, Jan. 25 |
| Number of Files | 1 |
| Size | 372 KiB |
| Context area | |
| Author | 1 Lara, Arnaldo Camara 2 Hirata Jr, Roberto |
| Affiliation | 1 University of Sao Paulo 2 University of Sao Paulo |
| Editor | Oliveira Neto, Manuel Menezes de Carceroni, Rodrigo Lima |
| e-Mail Address | alara@vision.ime.usp.br |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI) |
| Conference Location | Manaus |
| Date | 8-11 Oct. 2006 |
| Book Title | Proceedings |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Tertiary Type | Full Paper |
| History | 2006-07-15 21:50:26 :: arnaldo_lara -> banon :: 2006-08-30 21:53:25 :: banon -> arnaldo_lara :: 2008-07-17 14:11:03 :: arnaldo_lara -> administrator :: 2009-08-13 20:38:05 :: administrator -> banon :: 2010-08-28 20:02:23 :: banon -> administrator :: 2020-02-19 03:17:38 :: administrator -> :: 2006 |
| Content and structure area | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Keywords | mathematical morphology, motion segmentation. |
| Abstract | Motion segmentation is one of the first steps in image sequence applications. The problem has been extensively studied and approached in several ways but it remains a difficult task even for sequences acquired by stationary cameras. In this paper we propose a novel algorithm that is based on Mathematical Morphology. The algorithm is simple to be implemented, less subject to lighting changes and more robust to false positives. It has been tested in security cameras image sequences showing promising results. Some algorithms from literature have been implemented and compared to the one described here. |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| Conditions of access and use area | |
| data URL | http://urlib.net/rep/6qtX3pFwXQZG2LgkFdY/LLsMS |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LLsMS |
| Language | en |
| Target File | lara-MotionSegmentationMM.pdf |
| User Group | arnaldo_lara administrator |
| Visibility | shown |
| Allied materials area | |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| Notes area | |
| Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |