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Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes

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Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes

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Romero López, D.; Frizera Neto, A.; Freire Bastos, T. (2014). Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. Revista Iberoamericana de Automática e Informática industrial. 11(2):202-211. https://doi.org/10.1016/j.riai.2013.09.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/144188

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Title: Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes
Author: Romero López, Dennis Frizera Neto, Anselmo Freire Bastos, Teodiano
Issued date:
Abstract:
[EN] This paper presents a methodology for online human action recognition on video sequences. It addresses an efficient approach to use invariant moments as image descriptors, applied in processing silhouettes obtained ...[+]


[ES] En este trabajo se presenta una metodología para el reconocimiento en-línea de acciones humanas en secuencias de vídeo. Se aborda un enfoque eficiente para el uso de momentos invariantes como descriptores de imagen, ...[+]
Subjects: Computer Vision , Depth Maps , Human Action Recognition , Relative Wavelet Energy , Mahalanobis Distance , Visión por ordenador , Mapas de profundidad , Reconocimiento de acciones humanas , Distancia de Mahalanobis
Copyrigths: Reserva de todos los derechos
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.1016/j.riai.2013.09.009
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.riai.2013.09.009
Project ID:
CNPq-FAPES/02/2011
Thanks:
Este proyecto de investigacion es financiado por el Programa Primeros Proyectos, CNPq/FAPES No. 02/2011 y por el CNPq a traves de beca de doctorado para el primer autor.
Type: Artículo

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