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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/D3uEq
Repositorysid.inpe.br/banon/2004/08.03.07.47
Last Update2004:08.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/08.03.07.47.12
Metadata Last Update2022:06.14.00.12.37 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352940
Citation KeyDiasNandBaraCorr:2004:OpGeRe
TitleO.G.R.E. - Open Gestures Recognition Engine
FormatOn-line
Year2004
Access Date2024, Apr. 29
Number of Files1
Size216 KiB
2. Context
Author1 Dias, José Miguel Salles
2 Nande, Pedro
3 Barata, Nuno
4 Correia, André
Affiliation1 ADETTI/ISCTE - Associação para o Desenvolvimento das Telecomunicações e Técnicas de Infomática
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressjmd@iscte.pt
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:56 :: jmd -> banon ::
2008-08-26 15:15:42 :: banon -> administrator ::
2009-08-13 20:37:27 :: administrator -> banon ::
2010-08-28 20:01:13 :: banon -> administrator ::
2022-06-14 00:12:37 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordshand gestures recognition
computer vision
human-computer interaction
AbstractIn this paper, we describe a hand gesture recognition engine based on Computer Vision (CV), as a computing platform to support gesture interaction between humans and computers. Presenting a simple approach to recognizing gestures through image processing techniques and a single video camera, we address the problem of generic hand gestures recognition, especially of spelled Sign Language hand poses, introducing a preliminary study to its kinetic component. In our methodology, the system initially removes the background of captured images, eliminating irrelevant pixel information. The human hand is then detected, segmented and its contours localized. From these contours significant metrics are derived, allowing a search in a pre-defined hand poses’ library, where each pose is previously converted into a set of metric values. We discuss several algorithmic options to support our methodology and present experimental results, regarding the recognition of Portuguese Sign Language signs. We discuss future directions of our work.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > O.G.R.E. - Open...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > O.G.R.E. - Open...
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/D3uEq
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/D3uEq
Languageen
Target File4437_Dias_J_replacement.pdf
User Groupjmd
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 8
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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