• DocumentCode
    2356988
  • Title

    Automatic speed measurements of spherical objects using an off-the-shelf digital camera

  • Author

    Lin, Hueiyung ; Chang, Chia-Hong

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Chen Univ., Ming-Hsiung, Taiwan
  • fYear
    2005
  • fDate
    10-12 July 2005
  • Firstpage
    66
  • Lastpage
    71
  • Abstract
    A method for automatic speed measurements of spherical objects using a digital camera is presented. Conventional speed measurement techniques use radar or laser based devices, which are usually more expensive compared to a passive camera system. In this work, a single image captured with object motion is used to estimate the speed of a spherical object (such as baseball). Due to the relative motion between the camera and a moving object during the camera exposure time, motion blur occurs in the dynamic region of the image. By identifying the motion blur parameters, the speed of a moving object can be obtained. Automatic target identification and motion estimation are first done by motion blur analysis, followed by more accurate blur identification using circle fitting of the spherical object. Finally, the object speed is calculated according to the imaging geometry, camera pose, and blur extent in the image.
  • Keywords
    cameras; motion estimation; velocity measurement; automatic speed measurements; automatic target identification; camera exposure time; camera pose; image blur extent; imaging geometry; motion blur analysis; motion estimation; object motion; off-the-shelf digital camera; spherical objects; Digital cameras; Geometry; Image motion analysis; Laser radar; Motion analysis; Motion estimation; Passive radar; Radar imaging; Radar measurements; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics, 2005. ICM '05. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7803-8998-0
  • Type

    conf

  • DOI
    10.1109/ICMECH.2005.1529229
  • Filename
    1529229