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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/LLsMS
Repositorysid.inpe.br/sibgrapi@80/2006/07.15.21.50
Last Update2006:07.15.21.50.25 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/07.15.21.50.26
Metadata Last Update2024:03.23.15.31.00 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.29
Citation KeyLaraHira:2006:MoSeUs
TitleMotion segmentation using mathematical morphology
FormatOn-line
Year2006
Access Date2024, Apr. 29
Number of Files1
Size372 KiB
2. Context
Author1 Lara, Arnaldo Camara
2 Hirata Jr, Roberto
Affiliation1 University of Sao Paulo
2 University of Sao Paulo
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressalara@vision.ime.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)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 ::
2024-03-23 15:31:00 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsmathematical morphology
motion segmentation
AbstractMotion 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.
Arrangement 1MM > Motion segmentation using...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Motion segmentation using...
Arrangement 3urlib.net > SDLA > Fonds > Full Index > Motion segmentation using...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LLsMS
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LLsMS
Languageen
Target Filelara-MotionSegmentationMM.pdf
User Grouparnaldo_lara
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPCW/4AUUH9L
8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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