Affine real-time face tracking using Gabor wavelet networks

We present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows: arbitrary affine deformations of the facial image; generalization from an individual face template to a rather general face template; and adapting the computa...

Full description

Saved in:
Bibliographic Details
Main Authors: Kruger, V., Happe, A., Sommer, G.
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Cameras
Computer science
Face detection
Human computer interaction
Image sequences
Linux
Robustness
Surveillance
Testing
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 130 vol.1
container_issue
container_start_page 127
container_title
container_volume 1
creator Kruger, V.
Happe, A.
Sommer, G.
description We present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows: arbitrary affine deformations of the facial image; generalization from an individual face template to a rather general face template; and adapting the computational needs of the tracking algorithm to the computational resources available. The method presented was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz, and online using an active camera mount at 22 Hz. We present experimental results on the off-line tests on several common image sequences including the salesman-sequence as well as on the online tests.
doi_str_mv 10.1109/ICPR.2000.905289
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_905289</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>905289</ieee_id><sourcerecordid>905289</sourcerecordid><originalsourceid>FETCH-LOGICAL-i89t-d864dce91d6ceb9c707880e65008958c5a4aadd36c5fed1c15e73847be2f94773</originalsourceid><addsrcrecordid>eNotj81KAzEYRYM_4Fi7F1d5gdQvk39clcHWQkGR7ksm-SKx06lkRotvr1Lhcs7uwCXklsOMc3D3q-bldVYDwMyBqq07I1VtBWdGGnVOps5YMNopML-7IBUHxZnUil-R62F4B6hBKFuRh3lKuUda0HdszHukyQekY_Fhl_s3-jn8cenbQ6FH_4UdjrTH8Xgou-GGXCbfDTj994RsFo-b5omtn5erZr5m2bqRRatlDOh41AFbFwwYawG1ArBO2aC89D5GoYNKGHngCo2w0rRYJyeNERNyd8pmRNx-lLz35Xt7ei1-AHAhSSA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Affine real-time face tracking using Gabor wavelet networks</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kruger, V. ; Happe, A. ; Sommer, G.</creator><creatorcontrib>Kruger, V. ; Happe, A. ; Sommer, G.</creatorcontrib><description>We present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows: arbitrary affine deformations of the facial image; generalization from an individual face template to a rather general face template; and adapting the computational needs of the tracking algorithm to the computational resources available. The method presented was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz, and online using an active camera mount at 22 Hz. We present experimental results on the off-line tests on several common image sequences including the salesman-sequence as well as on the online tests.</description><identifier>ISSN: 1051-4651</identifier><identifier>ISBN: 9780769507507</identifier><identifier>ISBN: 0769507506</identifier><identifier>EISSN: 2831-7475</identifier><identifier>DOI: 10.1109/ICPR.2000.905289</identifier><language>eng</language><publisher>IEEE</publisher><subject>Active contours ; Cameras ; Computer science ; Face detection ; Human computer interaction ; Image sequences ; Linux ; Robustness ; Surveillance ; Testing</subject><ispartof>Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.1, p.127-130 vol.1</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/905289$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54530,54895,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/905289$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kruger, V.</creatorcontrib><creatorcontrib>Happe, A.</creatorcontrib><creatorcontrib>Sommer, G.</creatorcontrib><title>Affine real-time face tracking using Gabor wavelet networks</title><title>Proceedings 15th International Conference on Pattern Recognition. ICPR-2000</title><addtitle>ICPR</addtitle><description>We present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows: arbitrary affine deformations of the facial image; generalization from an individual face template to a rather general face template; and adapting the computational needs of the tracking algorithm to the computational resources available. The method presented was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz, and online using an active camera mount at 22 Hz. We present experimental results on the off-line tests on several common image sequences including the salesman-sequence as well as on the online tests.</description><subject>Active contours</subject><subject>Cameras</subject><subject>Computer science</subject><subject>Face detection</subject><subject>Human computer interaction</subject><subject>Image sequences</subject><subject>Linux</subject><subject>Robustness</subject><subject>Surveillance</subject><subject>Testing</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>9780769507507</isbn><isbn>0769507506</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj81KAzEYRYM_4Fi7F1d5gdQvk39clcHWQkGR7ksm-SKx06lkRotvr1Lhcs7uwCXklsOMc3D3q-bldVYDwMyBqq07I1VtBWdGGnVOps5YMNopML-7IBUHxZnUil-R62F4B6hBKFuRh3lKuUda0HdszHukyQekY_Fhl_s3-jn8cenbQ6FH_4UdjrTH8Xgou-GGXCbfDTj994RsFo-b5omtn5erZr5m2bqRRatlDOh41AFbFwwYawG1ArBO2aC89D5GoYNKGHngCo2w0rRYJyeNERNyd8pmRNx-lLz35Xt7ei1-AHAhSSA</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Kruger, V.</creator><creator>Happe, A.</creator><creator>Sommer, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2000</creationdate><title>Affine real-time face tracking using Gabor wavelet networks</title><author>Kruger, V. ; Happe, A. ; Sommer, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-d864dce91d6ceb9c707880e65008958c5a4aadd36c5fed1c15e73847be2f94773</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Active contours</topic><topic>Cameras</topic><topic>Computer science</topic><topic>Face detection</topic><topic>Human computer interaction</topic><topic>Image sequences</topic><topic>Linux</topic><topic>Robustness</topic><topic>Surveillance</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Kruger, V.</creatorcontrib><creatorcontrib>Happe, A.</creatorcontrib><creatorcontrib>Sommer, G.</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>Kruger, V.</au><au>Happe, A.</au><au>Sommer, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Affine real-time face tracking using Gabor wavelet networks</atitle><btitle>Proceedings 15th International Conference on Pattern Recognition. ICPR-2000</btitle><stitle>ICPR</stitle><date>2000</date><risdate>2000</risdate><volume>1</volume><spage>127</spage><epage>130 vol.1</epage><pages>127-130 vol.1</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>9780769507507</isbn><isbn>0769507506</isbn><abstract>We present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows: arbitrary affine deformations of the facial image; generalization from an individual face template to a rather general face template; and adapting the computational needs of the tracking algorithm to the computational resources available. The method presented was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz, and online using an active camera mount at 22 Hz. We present experimental results on the off-line tests on several common image sequences including the salesman-sequence as well as on the online tests.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2000.905289</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1051-4651
ispartof Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.1, p.127-130 vol.1
issn 1051-4651
2831-7475
language eng
recordid cdi_ieee_primary_905289
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Active contours
Cameras
Computer science
Face detection
Human computer interaction
Image sequences
Linux
Robustness
Surveillance
Testing
title Affine real-time face tracking using Gabor wavelet networks
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T13%3A06%3A27IST&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=Affine%20real-time%20face%20tracking%20using%20Gabor%20wavelet%20networks&rft.btitle=Proceedings%2015th%20International%20Conference%20on%20Pattern%20Recognition.%20ICPR-2000&rft.au=Kruger,%20V.&rft.date=2000&rft.volume=1&rft.spage=127&rft.epage=130%20vol.1&rft.pages=127-130%20vol.1&rft.issn=1051-4651&rft.eissn=2831-7475&rft.isbn=9780769507507&rft.isbn_list=0769507506&rft_id=info:doi/10.1109/ICPR.2000.905289&rft_dat=%3Cieee_6IE%3E905289%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i89t-d864dce91d6ceb9c707880e65008958c5a4aadd36c5fed1c15e73847be2f94773%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=905289&rfr_iscdi=true