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Video stabilization algorithm based on norm optimal paths

SHI Chun-lei1,2, YANG Wen-jia2, HUANG Pei-kang3   

  1. 1. Science and Technology on Optical Radiation Laboratory, Beijing 100854, China; 2. Beijing
    Institute of Environmental Features, Beijing 100854, China; 3. Science and Technology on
    Electromagnetic Scattering Laboratory, Beijing 100854, China
  • Online:2015-05-25 Published:2010-01-03

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Abstract:

To deal with the problem of random shakiness and low frequency bounces, an improved video stabilization method based on norm optimal camera paths is proposed. Probability evolution sample consensus algorithm is used to eliminate the error matching points after coarse matching of feature points, avoiding the interference of local motion. Then camera paths are gained by L1 norm optimization. Finally, image warp is computed to get stabilized video sequences. Experimental results for different video sequences show the proposed method has a better veracity of stabilized results.

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