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A Novel Video Stitching Method for Multi-Camera Surveillance Systems
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취소
  • A Novel Video Stitching Method for Multi-Camera Surveillance Systems
  • A Novel Video Stitching Method for Multi-Camera Surveillance Systems
저자명
Yin. Xiaoqing,Li. Weili,Wang. Bin,Liu. Yu,Zhang. Maojun
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2014년|8권 10호|pp.3538-3556 (19 pages)
발행정보
한국인터넷정보학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This paper proposes a novel video stitching method that improves real-time performance and visual quality of a multi-camera video surveillance system. A two-stage seam searching algorithm based on enhanced dynamic programming is proposed. It can obtain satisfactory result and achieve better real-time performance than traditional seam-searching methods. The experiments show that the computing time is reduced by 66.4% using the proposed algorithm compared with enhanced dynamic programming, while the seam-searching accuracy is maintained. A real-time local update scheme reduces the deformation effect caused by moving objects passing through the seam, and a seam-based local color transfer model is constructed and applied to achieve smooth transition in the overlapped area, and overcome the traditional pixel blending methods. The effectiveness of the proposed method is proved in the experiements.