吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (6): 2116-2122.doi: 10.13229/j.cnki.jdxbgxb201606048

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Video stabilization based on background feature points

JI Shu-jiao1, LEI Yan-min1, ZHU Ming2   

  1. 1.College of Electronic Information and Engineering, Changchun University, Changchun 130022,China;
    2.Changchun Institute of Optics, Fine Mechanics and Physics, University of Chinese Academy of Sciences, Changchun 130033,China
  • Received:2015-06-01 Online:2016-11-20 Published:2016-11-20

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Abstract: The objective of this paper is to stabilize electronic image for aerial video with dynamic background. When shooting, as the camera follows the target, the video sequence changes scenarios. This is due to the movement of the camera and the change of background, so the scene is complicated. The difficulties in stabilizing video image with dynamic background include: an accurate estimate motion vector of camera movement and background compensation. To overcome such difficulties, this paper uses KLT track operator in combination with the M-estimator Sample and Consensus (MSAC) algorithm to realize feature point classification. Then, only the feature points on the background are used for global motion estimation to perform image stabilization. Experimental results demonstrate the feasibility of the proposed method.

Key words: information processing technology, electronic image stabilization, background characteristics, motion compensation

CLC Number: 

  • TN941.1
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