Motion Segmentation by SCC on the Hopkins 155 Database
arXiv:0909.1608 · doi:10.1109/ICCVW.2009.5457626
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.
Accepted to 2009 ICCV Workshop on Dynamical Vision