Human Motion Segmentation via Robust Kernel Sparse Subspace Clustering
Studies on human motion have attracted a lot of attentions. Human motion capture data, which much more precisely records human motion than videos do, has been widely used in many areas. Motion segmentation is an indispensable step for many related applications, but current segmentation methods for m...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 1 vom: 28. Jan., Seite 135-150
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| 1. Verfasser: |
Xia, Guiyu
(VerfasserIn) |
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| Weitere Verfasser: |
Sun, Huaijiang,
Feng, Lei,
Zhang, Guoqing,
Liu, Yazhou |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Computer vision
Data models
Kernel
Manifolds
Motion segmentation
Robustness |
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