Human action recognition using meta-cognitive neuro-fuzzy inference system
We propose a sequential Meta-Cognitive learning algorithm for Neuro-Fuzzy Inference System (McFIS) to efficiently recognize human actions from video sequence. Optical flow information between two consecutive image planes can represent actions hierarchically from local pixel level to global object le...
| Үндсэн зохиолчид: | , |
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| Бусад зохиолчид: | |
| Формат: | Journal Article |
| Хэл сонгох: | English |
| Хэвлэсэн: |
2013
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://hdl.handle.net/10356/96806 http://hdl.handle.net/10220/11619 |
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Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System
Хэвлэсэн 2013
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Conference Paper