Application of TBD-DP with VQ matched filter preprocessing for IR target tracking적외선 영상 표적 추적을 위한 벡터 양자화 정합 필터를 적용한 TBD 동적 계획 기법

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dc.contributor.advisorChun, Joo-Hwan-
dc.contributor.advisor전주환-
dc.contributor.authorCho, Hoon-Kyung-
dc.contributor.author조훈경-
dc.date.accessioned2013-09-12T01:57:29Z-
dc.date.available2013-09-12T01:57:29Z-
dc.date.issued2011-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=467798&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/180806-
dc.description학위논문(석사) - 한국과학기술원 : 전기 및 전자공학과, 2011.2, [ v, 32 p. ]-
dc.description.abstractA new moving target tracking algorithm based on track-before-detect(TBD) is presented to detect and tracking moving target in IR image. The conventional tracking algorithm, Kalman filter and TBD, is inadequate to IR image. We investigate weakness of two conventional algorithm in IR image and newly propose improved tracking algorithm. The new method are based on TBD, and combines strength of conventional algorithm to overcome shortcomings. And we also propose vector quantization and updating vector quantization technique to overcome computation burden. Simulation result reveals the proposed algorithm has good performance in IR image.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectTBD-
dc.subjecttarget tracking-
dc.subjectvector quantization-
dc.subjectTBD-
dc.subject표적추적-
dc.subject벡터 양자화-
dc.subject정합필터-
dc.subjectmatched filter-
dc.titleApplication of TBD-DP with VQ matched filter preprocessing for IR target tracking-
dc.title.alternative적외선 영상 표적 추적을 위한 벡터 양자화 정합 필터를 적용한 TBD 동적 계획 기법-
dc.typeThesis(Master)-
dc.identifier.CNRN467798/325007 -
dc.description.department한국과학기술원 : 전기 및 전자공학과, -
dc.identifier.uid020093528-
dc.contributor.localauthorChun, Joo-Hwan-
dc.contributor.localauthor전주환-
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EE-Theses_Master(석사논문)
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