Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GLz8M
Repositorysid.inpe.br/banon/2005/07.15.19.32
Last Update2005:07.15.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.15.19.32.36
Metadata Last Update2022:06.14.00.13.04 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.15
Citation KeyJacquesJrJungMuss:2005:BaSuSh
TitleBackground subtraction and shadow detection in grayscale video sequences
FormatOn-line
Year2005
Access Date2024, Apr. 30
Number of Files1
Size382 KiB
2. Context
Author1 Jacques Jr, Julio Cezar Silveira
2 Jung, Claudio Rosito
3 Musse, Soraia Raupp
Affiliation1 UNISINOS
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addresscrjung@unisinos.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-15 19:32:37 :: crjung -> banon ::
2005-07-18 14:44:53 :: banon -> crjung ::
2008-07-17 14:11:01 :: crjung -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:55 :: administrator -> banon ::
2010-08-28 20:01:19 :: banon -> administrator ::
2022-06-14 00:13:04 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsbackground modelling
shadow detection
normalized cross-correlation
AbstractTracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techniques reported in the literature use background subtraction techniques to obtain foreground objects, and apply shadow detection algorithms exploring spectral information of the images to retrieve only valid moving objects. In this paper, we propose a small improvement to an existing background model, and incorporate a novel technique for shadow detection in grayscale video sequences. The proposed algorithm works well for both indoor and outdoor sequences, and does not require the use of color cameras..
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Background subtraction and...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Background subtraction and...
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/6qtX3pFwXQZeBBx/GLz8M
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GLz8M
Languageen
Target Filejacquesjj_shadow.pdf
User Groupcrjung
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 7
sid.inpe.br/banon/2001/03.30.15.38.24 2
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


Close