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Color-based video segmentation using interlinked irregular pyramids. (English) Zbl 1057.68127

Summary: This paper presents a new segmentation technique for video sequences. It relies on building irregular pyramids based on its homogeneity over consecutive frames. Pyramids are interlinked to keep a relationship between the regions in the frames. Virtual nodes are considered to improve matching between low resolution levels of the pyramids. Its performance is good in real-world conditions because it does not depend on image constrains.

MSC:

68U10 Computing methodologies for image processing
68T45 Machine vision and scene understanding
68U99 Computing methodologies and applications
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References:

[1] D. Prewer, L. Kitchen, Weighted linked pyramids and soft segmentation of colour images, in: Asian Conference on Computer Vision, Taipei, Taiwan, 2000.; D. Prewer, L. Kitchen, Weighted linked pyramids and soft segmentation of colour images, in: Asian Conference on Computer Vision, Taipei, Taiwan, 2000. · Zbl 0974.68231
[2] Mahzoun, M.; Kim, J.; Sauazaki, S.; Tamura, K. O., A scaled multigrid optical flow algorithm based on the least RMS error between real and estimated second images, Pattern Recognition, 32, 657-670 (1999)
[3] Valencia, G.; Rodrı́guez, J. A.; Urdiales, C.; Bandera, A.; Sandoval, F., Spatiotemporal video segmentation and motion estimation through irregular pyramids, Pattern Recognition, 36, 1445-1447 (2003)
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