Block Based Face Detection Scheme Using Face Color and Motion Information
DC Field | Value | Language |
---|---|---|
dc.contributor.author | SoohyunKim | - |
dc.contributor.author | SunghyunLim | - |
dc.contributor.author | 차형태 | - |
dc.contributor.author | HernsooHahn | - |
dc.date.available | 2019-03-11T07:50:39Z | - |
dc.date.created | 2018-04-18 | - |
dc.date.issued | 2003-08 | - |
dc.identifier.issn | 1976-9172 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/30678 | - |
dc.description.abstract | In a sequence of images obtained by surveillance cameras, facial regions appear very small and their colors change abruptly by lighting condition. This paper proposes a new face detection scheme, robust on complex background, small size, and lighting conditions. The proposed method is consisted of three processes. In the first step, the candidates for the face regions are selected using face color distribution and motion information. In the second stage, the non-face regions are removed using face color ratio, boundary ratio, and average of column-wise intensity variation in the candidates. The face regions containing eyes and mouth are segmented and classified, and then they are scored using their topological relations in the last step. To speed up and improve a performance the above process, a block based image segmentation technique is used. The experiments have shown that the proposed algorithm detects faced regions with more than 91% of accuracy and less than 4.3% of false alarm rate. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국지능시스템학회 | - |
dc.relation.isPartOf | 한국지능시스템학회 논문지 | - |
dc.title | Block Based Face Detection Scheme Using Face Color and Motion Information | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | 한국지능시스템학회 논문지, v.13, no.4, pp.461 - 468 | - |
dc.identifier.kciid | ART000900611 | - |
dc.description.journalClass | 2 | - |
dc.citation.endPage | 468 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 461 | - |
dc.citation.title | 한국지능시스템학회 논문지 | - |
dc.citation.volume | 13 | - |
dc.contributor.affiliatedAuthor | 차형태 | - |
dc.identifier.url | http://www.dbpia.co.kr/Article/NODE01021850 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.