Fast non-parametric action recognition

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...

Descripción completa

Guardado en:
Detalles Bibliográficos
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:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p268_Ubalde
http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p268_Ubalde
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares