Improvement of face detection using spatial context information공간적 정황 정보를 이용한 얼굴 검출 성능 개선

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 356
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorRo, Yong-Man-
dc.contributor.advisor노용만-
dc.contributor.authorMin, Hyun-Seok-
dc.contributor.author민현석-
dc.date.accessioned2011-12-28T03:01:58Z-
dc.date.available2011-12-28T03:01:58Z-
dc.date.issued2008-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392911&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/54940-
dc.description학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.2, [ i, 40 p. ]-
dc.description.abstractFace detection technology is an essential step of any face processing system such as facial recognition system, video surveillance, and human computer interaction (HCI). Detection performance and speed are important factors of face detection task which is used in the real time face processing system such as video surveillance. The region containing faces can be understood as a part of the image. People prefer to allocate concerned objects on the center of the image rather than the boundary when they take a picture. The tendency of people arranging concerned objects on the center of the scene aims to distinguish the object from other objects and to accentuate objects in an image. Hence, this paper proposes a face detection method using the spatial context information. Experiments were performed to verify the proposed method and experimental results showed that the proposed face detection method can efficiently reduce the false positive rate as well as the runtime of face detection.eng
dc.languageeng-
dc.publisher한국정보통신대학교-
dc.subjectFace detection-
dc.subjectcontext information-
dc.subject정황 정보-
dc.subject얼굴 검출-
dc.titleImprovement of face detection using spatial context information-
dc.title.alternative공간적 정황 정보를 이용한 얼굴 검출 성능 개선-
dc.typeThesis(Master)-
dc.identifier.CNRN392911/225023-
dc.description.department한국정보통신대학교 : 공학부, -
dc.identifier.uid020064556-
dc.contributor.localauthorRo, Yong-Man-
dc.contributor.localauthor노용만-
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0