• DocumentCode
    3457362
  • Title

    Research on Video Stabilization and Enhancement in Forensic Science

  • Author

    Li, Yakui ; Lu, Hanqing ; Lin, Jing ; Zhao, Jun

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In forensic science, it is important and difficult task to extract the valuable information from blurring low resolution videos. Regarding this issue, a video stabilization and enhancement method is proposed in this paper, which include low-resolution continuous surveillance video analysis, construction of the motion model of target area, integration of available information from each frame. By means of this method, the valuable information can be extracted from a set of low resolution frames of videos, and a high quality image can be constructed, therefore, valid evidence can be achieved.
  • Keywords
    feature extraction; forensic science; image enhancement; image resolution; stability; video signal processing; blurring low resolution video; forensic science; image quality; information extraction; target area; video enhancement; video frame resolution; video stabilization; video surveillance analysis; Algorithm design and analysis; Data mining; Digital images; Forensics; Kalman filters; Optical signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659212
  • Filename
    5659212