Motion Segmentation by SCC on the Hopkins 155 Database.

link: http://arxiv.org/abs/0909.1608
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.