Low-rank Matrix Optimization for Video Segmentation Research
This paper investigates how to perform robust and efficient unsupervised video segmentation while suppressing the effects of data noises and/or corruptions. The low-rank representation is pursued for video segmentation. The supervoxels affinity matrix of an observed video sequence is given, low-rank m...
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| Main Authors: | , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2017-04-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |