Edge Detection과 Lucas-Kanade Optical Flow 방식에 기반한 디지털 영상 안정화 기법

Title
Edge Detection과 Lucas-Kanade Optical Flow 방식에 기반한 디지털 영상 안정화 기법
Other Titles
Digital Image Stabilization Based on Edge Detection and Lucas-Kanade Optical Flow
Author(s)
이석규이혜정[이혜정]최윤원[최윤원]강태훈[강태훈]
Keywords
Image stabilization; Motion estimation; Lucas-Kanade optical flow; Edge detection; Image stabilization; Motion estimation; Lucas-Kanade optical flow; Edge detection
Issue Date
201006
Publisher
한국로봇학회
Citation
로봇학회 논문지, v.5, no.2, pp.85 - 92
Abstract
n this paper, we propose a digital image stabilization technique using edge detection and Lucas-Kanade optical flow in order to minimize the motion of the shaken image. The accuracy of motion estimation based on block matching technique depends on the size of search window, which results in long calculation time. Therefore it is not applicable to real-time system. In addition, since the size of vector depends on that of block, it is difficult to estimate the motion which is bigger than the block size. The proposed method extracts the trust region using edge detection, to estimate the motion of some critical points in trust region based on Lucas-Kanade optical flow algorithm. The experimental results show that the proposed method stabilizes the shaking of motion image effectively in real time.
URI
http://hdl.handle.net/YU.REPOSITORY/22226
ISSN
1975-6291
Appears in Collections:
공과대학 > 전기공학과 > Articles
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