Motion Segmentation by Multi-stage Affine Classification
G. D.
Borshukov, G. Bozdagi, Y. Altunbasak, and A. M. Tekalp, IEEE Transactions on
Image Processing,
Volulme 6, pp. 1591-1594; November (1997).
/ Acrobat /
We propose two key modifications to a recent motion segmentation
algorithm developed by Wang and Adelson [1], which greatly improve its
performance. They are: i) the adaptive k-means clustering step is replaced by a
merging step, whereby the affine parameters of a block which has the smallest
representation error, rather than the respective cluster center is used to
represent each layer, and ii) we implement it in multiple stages, where pixels
belonging to a single motion model are labeled at each stage. Performance
improvement due to the proposed modifications is demonstrated on real video
frames.