Pattern Analysis & Applications

, Volume 4, Issue 1, pp 28–38 | Cite as

Segmenting Traffic Scenes from Grey Level and Motion Information

  • J. Bedenas
  • M. Boder
  • F. Pla
Article

Abstract:

This paper is concerned with an efficient estimation and segmentation of 2D motion from image sequences, with the focus on traffic monitoring applications. In order to reduce the computational load to achieve real-time implementation, the proposed approach makes use of simplifying assumptions that the camera is stationary, and that the projection of vehicles motion on the image plane can be approximated by translation. We show that satisfactory results can be achieved even under such apparently restrictive assumptions. The use of 2D motion analysis and the pre-segmentation stage significantly reduces the computational load, and the region-based motion estimator gives robustness to noise and changes in the illumination conditions.

Keywords:Motion estimation; Motion segmentation; Traffic monitoring 

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Copyright information

© Springer-Verlag London 2001

Authors and Affiliations

  • J. Bedenas
    • 1
  • M. Boder
    • 2
  • F. Pla
    • 1
  1. 1.Department Informática, Universitat Jaume I, Castellón, SpainES
  2. 2.Department of Electrical & Electronic Engineering, University of Surrey, Guildford, Surrey, UKGB

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