Context-Aware Mouse Behavior Recognition Using Hidden Markov Models
Automated recognition of mouse behaviors is crucial in studying psychiatric and neurologic diseases. To achieve this objective, it is very important to analyze the temporal dynamics of mouse behaviors. In particular, the change between mouse neighboring actions is swift in a short period. In this pa...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 3 vom: 10. März, Seite 1133-1148
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| 1. Verfasser: |
Jiang, Zheheng
(VerfasserIn) |
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| Weitere Verfasser: |
Crookes, Danny,
Green, Brian D,
Zhao, Yunfeng,
Ma, Haiping,
Li, Ling,
Zhang, Shengping,
Tao, Dacheng,
Zhou, Huiyu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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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 |
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