The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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Digital Image Stabilization Based on Edge Detection and Lucas-Kanade Optical Flow

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

  • Received : 2010.01.21
  • Accepted : 2010.03.17
  • Published : 2010.05.31
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Abstract

In 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.

Keywords

References

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