Analysis and recognition of human actions with flow features and temporal models
This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained fro...
Gorde:
| Egile nagusia: | |
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| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| Hizkuntza: | ingelesa |
| Argitaratua: |
KIT Scientific Publishing
2014
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| Gaiak: | |
| Sarrera elektronikoa: | DOAB: download the publication DOAB: description of the publication |
| Etiketak: |
Etiketa erantsi
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| Gaia: | This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification. |
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| Deskribapen fisikoa: | 1 electronic resource (XV, 183 p. p.) |
| ISBN: | KSP/1000043583 9783731502821 |
| Sartu: | Open Access |