Skip to main content

Advertisement

Video Segmentation Using Fast Marching and Region Growing Algorithms

Article metrics

  • 719 Accesses

  • 10 Citations

Abstract

The algorithm presented in this paper is comprised of three main stages: (1) classification of the image sequence and, in the case of a moving camera, parametric motion estimation, (2) change detection having as reference a fixed frame, an appropriately selected frame or a displaced frame, and (3) object localization using local colour features. The image sequence classification is based on statistical tests on the frame difference. The change detection module uses a two-label fast marching algorithm. Finally, the object localization uses a region growing algorithm based on the colour similarity. Video object segmentation results are shown using the COST data set.

Author information

Correspondence to Eftychis Sifakis.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Sifakis, E., Grinias, I. & Tziritas, G. Video Segmentation Using Fast Marching and Region Growing Algorithms. EURASIP J. Adv. Signal Process. 2002, 721235 (2002) doi:10.1155/S1110865702000744

Download citation

Keywords

  • video object segmentation
  • change detection
  • colour-based region growing