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Video Segmentation Using Fast Marching and Region Growing Algorithms
EURASIP Journal on Advances in Signal Processing volume 2002, Article number: 721235 (2002)
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.
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Sifakis, E., Grinias, I. & Tziritas, G. Video Segmentation Using Fast Marching and Region Growing Algorithms. EURASIP J. Adv. Signal Process. 2002, 721235 (2002). https://doi.org/10.1155/S1110865702000744
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DOI: https://doi.org/10.1155/S1110865702000744
Keywords
- video object segmentation
- change detection
- colour-based region growing