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Motion Segmentation by SCC on the Hopkins 155 Database
Published 9 Sep 2009 in cs.CV | (0909.1608v1)
Abstract: We apply the Spectral Curvature Clustering (SCC) algorithm to a benchmark database of 155 motion sequences, and show that it outperforms all other state-of-the-art methods. The average misclassification rate by SCC is 1.41% for sequences having two motions and 4.85% for three motions.
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