• DocumentCode
    3346652
  • Title

    An Approach of Electronic Image Stabilization Based on the Representative Point Matching

  • Author

    Tang Jin ; Han Xiaowei ; Yuan Zhonghu ; Zhao Hongying

  • Author_Institution
    Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    347
  • Lastpage
    350
  • Abstract
    Image regions, which are not easily affected by moving target, are selected as matching region respectively. Then the matching regions are divided into a specified number of sub-regions according to a given experience value. By a presented algorithm of representative point matching (RPM), the local motion vecters (LMV) can be obtained. Median filter and mean filter are applied to get the real jitter vector, with historical motion vectors being considered. Then the video image is compensated according to the jitter vector. The effectiveness of proposed approach is verified based on the DM642 DSP video acquisition and processing experiment platform. The experimental results show that the proposed approach not only has high accuracy of electronic image stabilization(EIS), but also has good real-time performance.
  • Keywords
    image matching; image motion analysis; median filters; vectors; video signal processing; DM642 DSP; electronic image stabilization; jitter vector; local motion vectors; mean filter; median filter; moving target; representative point matching; video acquisition; Digital signal processing; Filters; High speed optical techniques; Image sequences; Jitter; Motion estimation; Optical signal processing; Signal processing algorithms; Vehicles; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.135
  • Filename
    5402876