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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/LMmuu
Repositorysid.inpe.br/sibgrapi@80/2006/07.17.10.15
Last Update2006:07.17.10.15.54 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/07.17.10.15.55
Metadata Last Update2022:06.14.00.13.13 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.13
Citation KeyCamposMayoMurr:2006:DiAtWe
TitleDirecting the attention of a wearable camera by pointing gestures
FormatOn-line
Year2006
Access Date2024, Apr. 27
Number of Files1
Size334 KiB
2. Context
Author1 de Campos, Teofilo
2 Mayol Cuevas, Walterio W.
3 Murray, David W.
Affiliation1 Department of Engineering Science, University of Oxford
2 Department of Computer Science, University of Bristol
3 Department of Engineering Science, University of Oxford
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressteo@robots.ox.ac.uk
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)2006-07-17 10:15:55 :: teo.decampos -> banon ::
2006-08-30 21:48:03 :: banon -> teo.decampos ::
2008-07-17 14:11:03 :: teo.decampos -> administrator ::
2009-08-13 20:38:06 :: administrator -> banon ::
2010-08-28 20:02:23 :: banon -> administrator ::
2022-06-14 00:13:13 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywords3D hand tracking
hand detection
wearable robots
AbstractWearable visual sensors provide views of the environment which are rich in information about the wearers location, interactions and intentions. In the wearable domain, hand gesture recognition is the natural replacement for keyboard input. We describe a framework combining a coarse-to-fine method for shape detection and a 3D tracking method that can identify pointing gestures and estimate their direction. The low computational complexity of both methods allows a real-time implementation that is applied to estimate the users focus of attention and to control fast redirections of gaze of a wearable active camera. Experiments have demonstrated a level of robustness of this system in long and noisy image sequences.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Directing the attention...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Directing the attention...
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/LMmuu
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LMmuu
Languageen
Target FiledeCamposT-Gestures.pdf
User Groupteo.decampos
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
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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