Learning Human Actions by Combining Global Dynamics and Local Appearance
In this paper, we address the problem of human action recognition through combining global temporal dynamics and local visual spatio-temporal appearance features. For this purpose, in the global temporal dimension, we propose to model the motion dynamics with robust linear dynamical systems (LDSs) a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 36(2014), 12 vom: 14. Dez., Seite 2466-82
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| 1. Verfasser: |
Luo, Guan
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Shuang,
Tian, Guodong,
Yuan, Chunfeng,
Hu, Weiming,
Maybank, Stephen J |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2014
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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