Motion Segmentation by SCC on the Hopkins 155 Database
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
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