• DocumentCode
    722710
  • Title

    Quality assurance of camera zooming by detecting len-shake

  • Author

    Wen-Chung Chang ; Chi-Cheng Wang

  • Author_Institution
    Dept. of Electr. Eng. (DEE2125), Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2015
  • fDate
    29-31 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A quality assurance approach to ensure proper camera zooming is proposed to replace existing manual process. Camera len-shake estimation is employed to measure camera quality during zooming. Typically, camera len-shake estimation has been performed by a human-operated procedure that requires repetitive operations in a time-consuming process. In this paper, a fast and efficient automatic estimation approach has been proposed. The seemingly novel approach has been validated by experimenting with an industrial pan-tilt-zoom video camera. The estimated camera len-shake is comparable with the estimate from existing manual operation. The proposed approach not only can ensure quality control of the production line, but also can improve efficiency and reliability of factory automation.
  • Keywords
    object detection; quality assurance; video cameras; video signal processing; automatic estimation approach; camera len-shake estimation; camera zooming quality assurance; factory automation reliability; industrial pan-tilt-zoom video camera; len-shake detection; production line; quality control; Calibration; Cameras; Estimation; Least squares approximations; Lenses; Quality assurance; Trajectory; camera len-shake; least squares; machine vision; real-time vision; zoom tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ARIS.2015.7158376
  • Filename
    7158376