Learning atomic human actions using variable-length Markov models
Visual analysis of human behavior has generated considerable interest in the field of computer vision because of its wide spectrum of potential applications. Human behavior can be segmented into atomic actions, each of which indicates a basic and complete movement. Learning and recognizing atomic hu...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 39(2009), 1 vom: 07. Feb., Seite 268-80
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| 1. Verfasser: |
Liang, Yu-Ming
(VerfasserIn) |
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| Weitere Verfasser: |
Shih, Sheng-Wen,
Shih, Arthur Chun-Chieh,
Liao, Hong-Yuan Mark,
Lin, Cheng-Chung |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2009
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article |
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