The Hopkins 155 dataset consists of 156 video sequences of two or three motions. Each video sequence motion corresponds to a low-dimensional subspace. There are 39−550 data vectors drawn from two or three motions for each video sequence.
Source: Symmetric low-rank representation for subspace clustering
Image Source: http://www.vision.jhu.edu/data/hopkins155/
Variants: Hopkins155
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Motion Segmentation | MVC | Motion Segmentation by Exploiting Complementary … | 2018-04-06 |
| Motion Segmentation | T-Linkage | A Continuous Relaxation of Beam … | 2017-08-01 |
| Motion Segmentation | RSIM | Shape Interaction Matrix Revisited and … | 2015-09-09 |
| Motion Segmentation | SSC | Sparse Subspace Clustering: Algorithm, Theory, … | 2012-03-05 |
Recent papers with results on this dataset: