Directing the Attention of aWearable Camera by Pointing Gestures
Wearable visual sensors provide views of the environment which are rich in information about the wearer's 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 met...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 186 |
|---|---|
| container_issue | |
| container_start_page | 179 |
| container_title | |
| container_volume | |
| creator | De Campos, Teofilo E. Mayol Cuevas, Walterio W. Murray, David W. |
| description | Wearable visual sensors provide views of the environment which are rich in information about the wearer's 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 user's 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 |
| doi_str_mv | 10.1109/SIBGRAPI.2006.13 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4027066</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4027066</ieee_id><sourcerecordid>4027066</sourcerecordid><originalsourceid>FETCH-ieee_primary_40270663</originalsourceid><addsrcrecordid>eNp9yr1uwjAUQOErClLTwo7UxS-Q9DpO7HgjhTZlQ6VSx8hBFzDKD7LNkLevhDp3OsN3AJYcE85Rv-63b9VXudsmKaJMuJhAlAql4jzj8gEWWhWopM5TWUg1hYjnAmNeiOwRnry_IHKtZRHBamMdHYLtTyyciZUhUB_s0LPhyMwPGWealtjadOQMa0a2G2x_vyvy4ebIz2F2NK2nxV-f4eXj_Xv9GVsiqq_OdsaNdYapQinF__oL38o8Ww</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Directing the Attention of aWearable Camera by Pointing Gestures</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>De Campos, Teofilo E. ; Mayol Cuevas, Walterio W. ; Murray, David W.</creator><creatorcontrib>De Campos, Teofilo E. ; Mayol Cuevas, Walterio W. ; Murray, David W.</creatorcontrib><description>Wearable visual sensors provide views of the environment which are rich in information about the wearer's 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 user's 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</description><identifier>ISSN: 1530-1834</identifier><identifier>ISBN: 9780769526867</identifier><identifier>ISBN: 0769526861</identifier><identifier>EISSN: 2377-5416</identifier><identifier>DOI: 10.1109/SIBGRAPI.2006.13</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Computer science ; Focusing ; Humans ; Keyboards ; Magnetic heads ; Robot vision systems ; Scholarships ; Shape ; Wearable sensors</subject><ispartof>2006 19th Brazilian Symposium on Computer Graphics and Image Processing, 2006, p.179-186</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4027066$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4027066$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>De Campos, Teofilo E.</creatorcontrib><creatorcontrib>Mayol Cuevas, Walterio W.</creatorcontrib><creatorcontrib>Murray, David W.</creatorcontrib><title>Directing the Attention of aWearable Camera by Pointing Gestures</title><title>2006 19th Brazilian Symposium on Computer Graphics and Image Processing</title><addtitle>SIBGRA</addtitle><description>Wearable visual sensors provide views of the environment which are rich in information about the wearer's 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 user's 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</description><subject>Cameras</subject><subject>Computer science</subject><subject>Focusing</subject><subject>Humans</subject><subject>Keyboards</subject><subject>Magnetic heads</subject><subject>Robot vision systems</subject><subject>Scholarships</subject><subject>Shape</subject><subject>Wearable sensors</subject><issn>1530-1834</issn><issn>2377-5416</issn><isbn>9780769526867</isbn><isbn>0769526861</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9yr1uwjAUQOErClLTwo7UxS-Q9DpO7HgjhTZlQ6VSx8hBFzDKD7LNkLevhDp3OsN3AJYcE85Rv-63b9VXudsmKaJMuJhAlAql4jzj8gEWWhWopM5TWUg1hYjnAmNeiOwRnry_IHKtZRHBamMdHYLtTyyciZUhUB_s0LPhyMwPGWealtjadOQMa0a2G2x_vyvy4ebIz2F2NK2nxV-f4eXj_Xv9GVsiqq_OdsaNdYapQinF__oL38o8Ww</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>De Campos, Teofilo E.</creator><creator>Mayol Cuevas, Walterio W.</creator><creator>Murray, David W.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200610</creationdate><title>Directing the Attention of aWearable Camera by Pointing Gestures</title><author>De Campos, Teofilo E. ; Mayol Cuevas, Walterio W. ; Murray, David W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_40270663</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cameras</topic><topic>Computer science</topic><topic>Focusing</topic><topic>Humans</topic><topic>Keyboards</topic><topic>Magnetic heads</topic><topic>Robot vision systems</topic><topic>Scholarships</topic><topic>Shape</topic><topic>Wearable sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>De Campos, Teofilo E.</creatorcontrib><creatorcontrib>Mayol Cuevas, Walterio W.</creatorcontrib><creatorcontrib>Murray, David W.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>De Campos, Teofilo E.</au><au>Mayol Cuevas, Walterio W.</au><au>Murray, David W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Directing the Attention of aWearable Camera by Pointing Gestures</atitle><btitle>2006 19th Brazilian Symposium on Computer Graphics and Image Processing</btitle><stitle>SIBGRA</stitle><date>2006-10</date><risdate>2006</risdate><spage>179</spage><epage>186</epage><pages>179-186</pages><issn>1530-1834</issn><eissn>2377-5416</eissn><isbn>9780769526867</isbn><isbn>0769526861</isbn><abstract>Wearable visual sensors provide views of the environment which are rich in information about the wearer's 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 user's 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</abstract><pub>IEEE</pub><doi>10.1109/SIBGRAPI.2006.13</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1530-1834 |
| ispartof | 2006 19th Brazilian Symposium on Computer Graphics and Image Processing, 2006, p.179-186 |
| issn | 1530-1834 2377-5416 |
| language | eng |
| recordid | cdi_ieee_primary_4027066 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Computer science Focusing Humans Keyboards Magnetic heads Robot vision systems Scholarships Shape Wearable sensors |
| title | Directing the Attention of aWearable Camera by Pointing Gestures |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T02%3A21%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Directing%20the%20Attention%20of%20aWearable%20Camera%20by%20Pointing%20Gestures&rft.btitle=2006%2019th%20Brazilian%20Symposium%20on%20Computer%20Graphics%20and%20Image%20Processing&rft.au=De%20Campos,%20Teofilo%20E.&rft.date=2006-10&rft.spage=179&rft.epage=186&rft.pages=179-186&rft.issn=1530-1834&rft.eissn=2377-5416&rft.isbn=9780769526867&rft.isbn_list=0769526861&rft_id=info:doi/10.1109/SIBGRAPI.2006.13&rft_dat=%3Cieee_6IE%3E4027066%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4027066&rfr_iscdi=true |