Motion Segmentation by SCC on the Hopkins 155 Database

Details Motion Segmentation by SCC on the Hopkins 155 Database Motion Segmentation by SCC on the Hopkins 155 Database

2009-09-09

arxiv.org/abs/0909.1608v1

Computer Science

Computer Vision and Pattern Recognition

Accepted to 2009 ICCV Workshop on Dynamical Vision

Scientific paper

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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