Computer vision intelligent approaches to extract human pose and Its activity from image sequences
The purpose of this work is to develop computational intelligence models based on neural networks (NN), fuzzy models (FM), support vector machines (SVM) and long short-term memory networks (LSTM) to predict human pose and activity from image sequences, based on computer vision approaches to gather t...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2020
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.11/7372 |
| País: | Portugal |
| Oai: | oai:repositorio.ipcb.pt:10400.11/7372 |