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arXiv · 0909.1608

Motion Segmentation by SCC on the Hopkins 155 Database

G. Chen·G. Lerman
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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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G. Chen, G. Lerman. 2009-09-09. Motion Segmentation by SCC on the Hopkins 155 Database. https://doi.org/10.1109/iccvw.2009.5457626

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