Fast non-parametric action recognition

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In this work we propose a method for action recognition which needs no intensive learning stage, and achieves state-of-the-art classification performance. Our work is based on a method presented in the context of image classification. Unlike that method, our approach is well-suited for working with...

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Detalles Bibliográficos
Autores principales: Ubalde, S., Goussies, N.A.
Formato: Artículo publishedVersion
Publicado: 2012
Materias:
action recognition
image-to-class distance
nearest neighbor
Action recognition
Average running time
Classification performance
Data sets
Nearest neighbors
Non-parametric
Real-world problem
Training data
Image analysis
Computer vision
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p268_Ubalde
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_03029743_v7441LNCS_n_p268_Ubalde_oai
Aporte de:
Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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