Video segmentation using fast marching and region growing algorithms
The algorithm presented in this paper is comprised of threemain 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 211 data set.
Images and movies
BibTex references
@Article{SGT02, author = "Sifakis, Eftychios and Grinias, Ilias and Tziritas, Georgios", title = "Video segmentation using fast marching and region growing algorithms", journal = "EURASIP Journal on Applied Signal Processing", pages = "379--388", month = "Apr.", year = "2002", url = "http://graphics.cs.wisc.edu/Papers/2002/SGT02" }