• DocumentCode
    3363386
  • Title

    Capabilities and limitations of mono-camera pedestrian-based autocalibration

  • Author

    Mohedano, Raúl ; Garcia, Narciso

  • Author_Institution
    Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4705
  • Lastpage
    4708
  • Abstract
    Many environments lack enough architectural information to allow an autocalibration based on features extracted from the scene structure. Nevertheless, the observation over time of walking people can generally be used to estimate the vertical vanishing point and the horizon line in the acquired image. However, this information is not enough to allow the calibration of a general camera without presuming excessive simplifications. This paper presents a study on the capabilities and limitations of the mono-camera calibration methods based solely on the knowledge of the vertical vanishing point and the horizon line in the image. The mathematical analysis sets the conditions to assure the feasibility of the mono-camera pedestrian-based autocalibration. In addition, examples of applications are presented and discussed.
  • Keywords
    calibration; cameras; feature extraction; mathematical analysis; autocalibration; features extraction; horizon line; mathematical analysis; mono-camera pedestrian; scene structure; vertical vanishing point estimation; walking people; Bayesian methods; Calibration; Cameras; Data mining; Equations; Legged locomotion; Pixel; Camera calibration; horizon line; human tracking; vanishing point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653359
  • Filename
    5653359