Strategies for video sequence stabilisation

  1. Ángela Ribeiro 1
  2. Nadir Costa 1
  3. Gonzalo Pajares 2
  4. María Guijarro 2
  1. 1 Centre for Automation and Robotics (CSIC-UPM)
  2. 2 Facultad de Informática. Universidad Complutense de Madrid (UCM)
Libro:
Proceedings of the first International Workshop on robotics and associated high technologies and equipment for agriculture (RHEA-2011): Montpellier, France September 9, 2011
  1. Pablo Gonzalez-de-Santos (ed. lit.)
  2. Gilles Rabatel (ed. lit.)

Editorial: S.N.

ISBN: 978-84-615-6184-1

Año de publicación: 2011

Páginas: 47-59

Congreso: International Workshop on Robotics and Associated High-technologies and Equipment por Agriculture (1. 2011. Montpellier)

Tipo: Aportación congreso

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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.

Fuente de los datos: Dialnet