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Strategies for video sequence stabilisation

    1. [1] Universidad Complutense de Madrid

      Universidad Complutense de Madrid

      Madrid, España

    2. [2] Centre for Automation and Robotics (CSIC-UPM)
  • Localización: Proceedings of the first International Workshop on robotics and associated high technologies and equipment for agriculture (RHEA-2011): Montpellier, France September 9, 2011 / Pablo González de Santos (ed. lit.), Gilles Rabatel (ed. lit.), 2011, ISBN 978-84-615-6184-1, págs. 47-59
  • Idioma: español
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • This paper describes a stabilisation method applied to a precisionagriculture scheme for weed control in crop fields. The method uses the centres ofthe crop rows as the characteristic elements to be detected and tracking acrossframes to compensate for the lateral movement of the camera. The inverseperspective transform is used to obtain a bird’s-eye view of the original imagerecorded at the field. The transformation allows us to keep the centres of the threecentral crop rows centred on the screen for further processing. The proposedalgorithm has been tested on image sequences of different fields and recorded atdifferent times and under different lighting conditions. Lateral displacements of upto 66% of the inter-row spacing have been suppressed.


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