Matches in SemOpenAlex for { <https://semopenalex.org/work/W1995632596> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W1995632596 endingPage "25" @default.
- W1995632596 startingPage "19" @default.
- W1995632596 abstract "본 논문에서는 실 도로 환경에서 획득한 영상으로부터 도로 영역을 추적하는 방법을 제안한다. 제안된 방법은 이전 처리 결과로부터 미리 알려진 정보를 이용하여 현재 영상에서 도로를 검출하고 추적하는 방법이다. 제안된 방법은 시스템의 효율을 위해 연속적인 입력 영상에서 하위 60%이내에 도로가 있다고 가정하여 관심의 대상이 되는 영역(Region of Interest, ROI)을 설정하고 이 영역에서만 도로를 검출하고 추적한다. 최초 분할은 플러드필 알고리즘(Flood-fill algorithm)을 수행한 결과로부터 주위 영역과의 유사성을 평가한 후 병합하여 분할한다. 사전 정보로 사용되는 이전 영상에서 분할 결과에서 시드점(Seed Point)을 추출하고 이 시드점을 기준으로 현재 영상을 분할한다. 이전 영상에서 분할된 도로 영역과 현재 영상에서 분할된 결과를 변형된 자카드 계수(Jaccard coefficient)를 이용한 유사도 측정 결과에 따라 다음 영상에서 도로영역을 정제하고 추적한다. 연속적인 입력 영상을 대상으로 실험한 결과는 잡음이 존재하는 영상에서도 도로를 추적하는데 효과적임을 보여준다. In this paper, we propose an approach to tracking road regions from video sequences. The proposed method segments and tracks road regions by utilizing the prior information from the result of the previous frame. For the efficiency of the system, we have a simple assumption that the road region is usually shown in the lower part of input images so that lower 60% of input images is set to the region of interest(ROI). After initial segmentation using flood-fill algorithm, we merge neighboring regions based on color similarity measure. The previous segmentation result, in which seed points for the successive frame are extracted, is used as prior information to segment the current frame. The similarity between the road region of the previous frame and that of the current frame is measured by the modified Jaccard coefficient. According to the similarity we refine and track the detected road regions. The experimental results reveal that the proposed method is effective to segment and track road regions in noisy and non-noisy environments." @default.
- W1995632596 created "2016-06-24" @default.
- W1995632596 creator A5056337221 @default.
- W1995632596 date "2013-04-30" @default.
- W1995632596 modified "2023-09-26" @default.
- W1995632596 title "Road Tracking based on Prior Information in Video Sequences" @default.
- W1995632596 cites W1541741266 @default.
- W1995632596 cites W1598581100 @default.
- W1995632596 cites W1986042185 @default.
- W1995632596 cites W1989104617 @default.
- W1995632596 cites W2069747948 @default.
- W1995632596 cites W2075661794 @default.
- W1995632596 cites W2109680916 @default.
- W1995632596 doi "https://doi.org/10.9723/jksiis.2013.18.2.019" @default.
- W1995632596 hasPublicationYear "2013" @default.
- W1995632596 type Work @default.
- W1995632596 sameAs 1995632596 @default.
- W1995632596 citedByCount "0" @default.
- W1995632596 crossrefType "journal-article" @default.
- W1995632596 hasAuthorship W1995632596A5056337221 @default.
- W1995632596 hasBestOaLocation W19956325961 @default.
- W1995632596 hasConcept C103278499 @default.
- W1995632596 hasConcept C111919701 @default.
- W1995632596 hasConcept C115961682 @default.
- W1995632596 hasConcept C126042441 @default.
- W1995632596 hasConcept C153180895 @default.
- W1995632596 hasConcept C154945302 @default.
- W1995632596 hasConcept C15744967 @default.
- W1995632596 hasConcept C19417346 @default.
- W1995632596 hasConcept C19609008 @default.
- W1995632596 hasConcept C197129107 @default.
- W1995632596 hasConcept C203519979 @default.
- W1995632596 hasConcept C23123220 @default.
- W1995632596 hasConcept C2524010 @default.
- W1995632596 hasConcept C2775936607 @default.
- W1995632596 hasConcept C28719098 @default.
- W1995632596 hasConcept C31972630 @default.
- W1995632596 hasConcept C33923547 @default.
- W1995632596 hasConcept C41008148 @default.
- W1995632596 hasConcept C76155785 @default.
- W1995632596 hasConcept C89600930 @default.
- W1995632596 hasConcept C89992363 @default.
- W1995632596 hasConceptScore W1995632596C103278499 @default.
- W1995632596 hasConceptScore W1995632596C111919701 @default.
- W1995632596 hasConceptScore W1995632596C115961682 @default.
- W1995632596 hasConceptScore W1995632596C126042441 @default.
- W1995632596 hasConceptScore W1995632596C153180895 @default.
- W1995632596 hasConceptScore W1995632596C154945302 @default.
- W1995632596 hasConceptScore W1995632596C15744967 @default.
- W1995632596 hasConceptScore W1995632596C19417346 @default.
- W1995632596 hasConceptScore W1995632596C19609008 @default.
- W1995632596 hasConceptScore W1995632596C197129107 @default.
- W1995632596 hasConceptScore W1995632596C203519979 @default.
- W1995632596 hasConceptScore W1995632596C23123220 @default.
- W1995632596 hasConceptScore W1995632596C2524010 @default.
- W1995632596 hasConceptScore W1995632596C2775936607 @default.
- W1995632596 hasConceptScore W1995632596C28719098 @default.
- W1995632596 hasConceptScore W1995632596C31972630 @default.
- W1995632596 hasConceptScore W1995632596C33923547 @default.
- W1995632596 hasConceptScore W1995632596C41008148 @default.
- W1995632596 hasConceptScore W1995632596C76155785 @default.
- W1995632596 hasConceptScore W1995632596C89600930 @default.
- W1995632596 hasConceptScore W1995632596C89992363 @default.
- W1995632596 hasIssue "2" @default.
- W1995632596 hasLocation W19956325961 @default.
- W1995632596 hasOpenAccess W1995632596 @default.
- W1995632596 hasPrimaryLocation W19956325961 @default.
- W1995632596 hasRelatedWork W1669643531 @default.
- W1995632596 hasRelatedWork W2004271179 @default.
- W1995632596 hasRelatedWork W2079531124 @default.
- W1995632596 hasRelatedWork W2130783791 @default.
- W1995632596 hasRelatedWork W2134924024 @default.
- W1995632596 hasRelatedWork W2263868195 @default.
- W1995632596 hasRelatedWork W2517104666 @default.
- W1995632596 hasRelatedWork W2783980107 @default.
- W1995632596 hasRelatedWork W3017840285 @default.
- W1995632596 hasRelatedWork W3114716416 @default.
- W1995632596 hasVolume "18" @default.
- W1995632596 isParatext "false" @default.
- W1995632596 isRetracted "false" @default.
- W1995632596 magId "1995632596" @default.
- W1995632596 workType "article" @default.