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Conference Paper: Fast face detection using quadtree based color analysis and support vector verification

TitleFast face detection using quadtree based color analysis and support vector verification
Authors
KeywordsObject detection
Pattern recognition
Color analysis
Issue Date2004
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The International Conference on Image analysis and recognition (ICIAR 2004), Porto, Portugal, 29 September 29-1 October 2004. In Lecture Notes in Computer Science, 2004, v. 3212, p. 676-683 How to Cite?
AbstractFace detection has potential applications in a wide range of commercial products such as automatic face recognition system. Commonly used face detection algorithms can extract faces from images accurately and reliably, but they often take a long time to finish the detection process. Recently, there is an increasing demand of real time face detection algorithm in applications like video surveillance system. This paper aims at proposing a multi-scale face detection scheme using Quadtree so that the time complexity of the face detection process can be reduced. By performing analysis from coarse to fine scales, the proposed scheme uses skin color as a heuristic feature, and support vector machine as a verification tool to detect face. Experimental results show that the proposed scheme can detect faces from images reliably and quickly. Keywords: Object Detection, Pattern Recognition, Color Analysis © Springer-Verlag 2004.
Persistent Identifierhttp://hdl.handle.net/10722/137138
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SFen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2011-08-23T07:56:28Z-
dc.date.available2011-08-23T07:56:28Z-
dc.date.issued2004en_HK
dc.identifier.citationThe International Conference on Image analysis and recognition (ICIAR 2004), Porto, Portugal, 29 September 29-1 October 2004. In Lecture Notes in Computer Science, 2004, v. 3212, p. 676-683en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137138-
dc.description.abstractFace detection has potential applications in a wide range of commercial products such as automatic face recognition system. Commonly used face detection algorithms can extract faces from images accurately and reliably, but they often take a long time to finish the detection process. Recently, there is an increasing demand of real time face detection algorithm in applications like video surveillance system. This paper aims at proposing a multi-scale face detection scheme using Quadtree so that the time complexity of the face detection process can be reduced. By performing analysis from coarse to fine scales, the proposed scheme uses skin color as a heuristic feature, and support vector machine as a verification tool to detect face. Experimental results show that the proposed scheme can detect faces from images reliably and quickly. Keywords: Object Detection, Pattern Recognition, Color Analysis © Springer-Verlag 2004.en_HK
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectObject detection-
dc.subjectPattern recognition-
dc.subjectColor analysis-
dc.titleFast face detection using quadtree based color analysis and support vector verificationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0302-9743&volume=3212&spage=676&epage=683&date=2004&atitle=Fast+face+detection+using+quadtree+based+color+analysis+and+support+vector+verification-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-35048838095en_HK
dc.identifier.hkuros96734-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-35048838095&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3212en_HK
dc.identifier.spage676en_HK
dc.identifier.epage683en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe International Conference on Image analysis and recognition (ICIAR 2004), Porto, Portugal, 29 September 29-1 October 2004. In Lecture Notes in Computer Science, 2004, v. 3212, p. 676-683-
dc.identifier.scopusauthoridWong, SF=22236051500en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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