Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System
In this paper, we propose a Meta-Cognitive Neuro-Fuzzy Inference System (McFIS) for accurate detection of human actions from video sequences. In this paper, we employ optical flow based features as they can represent information from local pixel level to global object level between two consecutive i...
| Main Authors: | , |
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| Outros Autores: | |
| Formato: | Conference Paper |
| Idioma: | English |
| Publicado em: |
2013
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| Acesso em linha: | https://hdl.handle.net/10356/97942 http://hdl.handle.net/10220/12382 |