Robust Face Tracking Using Self-Skin Color Segmentation
This paper addresses the problem of human face tracking in color image sequences. A method using human skin color feature integrated with condensation algorithm is proposed. At first, this paper presents a method of self-skin color segmentation to detect human skin in color image. Compared with conv...
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 | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | 2 |
| creator | Xia, Siyu Li, Jiuxian Xia, Liangzheng |
| description | This paper addresses the problem of human face tracking in color image sequences. A method using human skin color feature integrated with condensation algorithm is proposed. At first, this paper presents a method of self-skin color segmentation to detect human skin in color image. Compared with conventional skin color model methods, this method has more precise detection performance in varying lighting condition. Additionally, this paper presents two improvements for condensation algorithm: a simple and efficient sampling method based on the Metropolis algorithm and an adaptive dynamical model are used for robust face tracking. Experimental results show that this approach could track human face's free movement, even in complex backgrounds and occlusion case |
| doi_str_mv | 10.1109/ICOSP.2006.345704 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4128996</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4128996</ieee_id><sourcerecordid>4128996</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-93238574b67abf6f431a2b756eceb24850b670da79d9305b297a23edf59e25603</originalsourceid><addsrcrecordid>eNo1jN1Kw0AUhFe0YKx5APEmL5B49pz9O5cSbC0UKra9LptmU6JpIkm88O2NqDDM8M3ACHEnIZMS-GGVb7YvGQKYjJS2oC5EzNbBJGJL1l2Km38wdCUilEalGlHORAQmZbSMfC3iYXgDAJLOGTKRsK9d8TmMycIfQ7Lr_fG9bk_JfvjxbWiqdDsVSd41XT_x6Rza0Y91196KWeWbIcR_ORf7xdMuf07Xm-Uqf1yntbR6TJmQnLaqMNYXlakUSY-F1SYcQ4HKaZgWKL3lkgl0gWw9UigrzQG1AZqL-9_fOoRw-Ojrs--_DkqiYzb0DYK6SdQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Robust Face Tracking Using Self-Skin Color Segmentation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Xia, Siyu ; Li, Jiuxian ; Xia, Liangzheng</creator><creatorcontrib>Xia, Siyu ; Li, Jiuxian ; Xia, Liangzheng</creatorcontrib><description>This paper addresses the problem of human face tracking in color image sequences. A method using human skin color feature integrated with condensation algorithm is proposed. At first, this paper presents a method of self-skin color segmentation to detect human skin in color image. Compared with conventional skin color model methods, this method has more precise detection performance in varying lighting condition. Additionally, this paper presents two improvements for condensation algorithm: a simple and efficient sampling method based on the Metropolis algorithm and an adaptive dynamical model are used for robust face tracking. Experimental results show that this approach could track human face's free movement, even in complex backgrounds and occlusion case</description><identifier>ISSN: 2164-5221</identifier><identifier>ISBN: 0780397363</identifier><identifier>ISBN: 9780780397361</identifier><identifier>EISBN: 9780780397378</identifier><identifier>EISBN: 0780397371</identifier><identifier>DOI: 10.1109/ICOSP.2006.345704</identifier><identifier>LCCN: 06-927929</identifier><language>eng</language><subject>Cameras ; Color ; Computer vision ; Face detection ; Histograms ; Humans ; Image segmentation ; Robustness ; Skin ; Tracking</subject><ispartof>2006 8th international Conference on Signal Processing, 2006, Vol.2</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/4128996$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,4035,4036,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4128996$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xia, Siyu</creatorcontrib><creatorcontrib>Li, Jiuxian</creatorcontrib><creatorcontrib>Xia, Liangzheng</creatorcontrib><title>Robust Face Tracking Using Self-Skin Color Segmentation</title><title>2006 8th international Conference on Signal Processing</title><addtitle>ICOSP</addtitle><description>This paper addresses the problem of human face tracking in color image sequences. A method using human skin color feature integrated with condensation algorithm is proposed. At first, this paper presents a method of self-skin color segmentation to detect human skin in color image. Compared with conventional skin color model methods, this method has more precise detection performance in varying lighting condition. Additionally, this paper presents two improvements for condensation algorithm: a simple and efficient sampling method based on the Metropolis algorithm and an adaptive dynamical model are used for robust face tracking. Experimental results show that this approach could track human face's free movement, even in complex backgrounds and occlusion case</description><subject>Cameras</subject><subject>Color</subject><subject>Computer vision</subject><subject>Face detection</subject><subject>Histograms</subject><subject>Humans</subject><subject>Image segmentation</subject><subject>Robustness</subject><subject>Skin</subject><subject>Tracking</subject><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><isbn>9780780397378</isbn><isbn>0780397371</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1jN1Kw0AUhFe0YKx5APEmL5B49pz9O5cSbC0UKra9LptmU6JpIkm88O2NqDDM8M3ACHEnIZMS-GGVb7YvGQKYjJS2oC5EzNbBJGJL1l2Km38wdCUilEalGlHORAQmZbSMfC3iYXgDAJLOGTKRsK9d8TmMycIfQ7Lr_fG9bk_JfvjxbWiqdDsVSd41XT_x6Rza0Y91196KWeWbIcR_ORf7xdMuf07Xm-Uqf1yntbR6TJmQnLaqMNYXlakUSY-F1SYcQ4HKaZgWKL3lkgl0gWw9UigrzQG1AZqL-9_fOoRw-Ojrs--_DkqiYzb0DYK6SdQ</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Xia, Siyu</creator><creator>Li, Jiuxian</creator><creator>Xia, Liangzheng</creator><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>Robust Face Tracking Using Self-Skin Color Segmentation</title><author>Xia, Siyu ; Li, Jiuxian ; Xia, Liangzheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-93238574b67abf6f431a2b756eceb24850b670da79d9305b297a23edf59e25603</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cameras</topic><topic>Color</topic><topic>Computer vision</topic><topic>Face detection</topic><topic>Histograms</topic><topic>Humans</topic><topic>Image segmentation</topic><topic>Robustness</topic><topic>Skin</topic><topic>Tracking</topic><toplevel>online_resources</toplevel><creatorcontrib>Xia, Siyu</creatorcontrib><creatorcontrib>Li, Jiuxian</creatorcontrib><creatorcontrib>Xia, Liangzheng</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>Xia, Siyu</au><au>Li, Jiuxian</au><au>Xia, Liangzheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Robust Face Tracking Using Self-Skin Color Segmentation</atitle><btitle>2006 8th international Conference on Signal Processing</btitle><stitle>ICOSP</stitle><date>2006</date><risdate>2006</risdate><volume>2</volume><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><eisbn>9780780397378</eisbn><eisbn>0780397371</eisbn><abstract>This paper addresses the problem of human face tracking in color image sequences. A method using human skin color feature integrated with condensation algorithm is proposed. At first, this paper presents a method of self-skin color segmentation to detect human skin in color image. Compared with conventional skin color model methods, this method has more precise detection performance in varying lighting condition. Additionally, this paper presents two improvements for condensation algorithm: a simple and efficient sampling method based on the Metropolis algorithm and an adaptive dynamical model are used for robust face tracking. Experimental results show that this approach could track human face's free movement, even in complex backgrounds and occlusion case</abstract><doi>10.1109/ICOSP.2006.345704</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2164-5221 |
| ispartof | 2006 8th international Conference on Signal Processing, 2006, Vol.2 |
| issn | 2164-5221 |
| language | eng |
| recordid | cdi_ieee_primary_4128996 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Color Computer vision Face detection Histograms Humans Image segmentation Robustness Skin Tracking |
| title | Robust Face Tracking Using Self-Skin Color Segmentation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T14%3A10%3A00IST&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=Robust%20Face%20Tracking%20Using%20Self-Skin%20Color%20Segmentation&rft.btitle=2006%208th%20international%20Conference%20on%20Signal%20Processing&rft.au=Xia,%20Siyu&rft.date=2006&rft.volume=2&rft.issn=2164-5221&rft.isbn=0780397363&rft.isbn_list=9780780397361&rft_id=info:doi/10.1109/ICOSP.2006.345704&rft_dat=%3Cieee_6IE%3E4128996%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780780397378&rft.eisbn_list=0780397371&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4128996&rfr_iscdi=true |