Trajectory-based human action segmentation
This paper proposes a sliding window approach, whose length and time shift are dynamically adaptable in order to improve model confidence, speed and segmentation accuracy in human action sequences. Activity recognition is the process of inferring an action class from a set of observations acquired b...
Autor principal: | |
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Outros Autores: | , |
Formato: | article |
Idioma: | eng |
Publicado em: |
2015
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Assuntos: | |
Texto completo: | http://hdl.handle.net/10316/27816 |
País: | Portugal |
Oai: | oai:estudogeral.sib.uc.pt:10316/27816 |