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dc.creator Vainstein, Jonathan
dc.creator Manera, José
dc.creator Negri, Pablo
dc.creator Delrieux, Claudio
dc.creator Maguitman, Ana 2018-10-12T18:35:47Z 2018-10-12T18:35:47Z 2014
dc.description Vainstein J., Manera J.F., Negri P., Delrieux C., Maguitman A. (2014) Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos. In: Bayro-Corrochano E., Hancock E. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2014. Lecture Notes in Computer Science, vol 8827. Springer, Cham. es
dc.description.abstract We present a novel approach to action recognition in tennis shot sequences. The underlying model considers the per-frame motion to be regarded as a word (within an alphabet of possible motions), and the sequence of frames as a phrase whose meaning is determined by the words given in a specific order. es
dc.format.extent 2 p. es
dc.title Modeling video activity with dynamic phrases and its application to action recognition in tennis videos es
uade.subject.descriptor Reconocimiento de Acciones es
uade.subject.descriptor Descripción de Movimiento es
uade.subject.descriptor Deportes es
uade.subject.descriptor Tenis es
uade.proyecto.codigo A14T24 es
uade.proyecto.nombre Reconocimiento y Análisis de Acciones en Videos es
uade.area Informática / Telecomunicaciones / Electrónica es
uade.linea Procesamiento de Imágenes es
uade.proyecto.responsable Negri, Pablo
uade.instituto Instituto de Tecnología es


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