INVESTIGADORES
DELRIEUX Claudio Augusto
artículos
Título:
Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
Autor/es:
JONATHAN VAINSTEIN; JOSÉ F. MANERA; PABLO NEGRI; CLAUDIO DELRIEUX; ANA MAGUITMAN
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer International Publishing
Referencias:
Año: 2014 vol. 8827 p. 909 - 916
ISSN:
0302-9743
Resumen:
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. This feature extraction mechanism allows a semantic treatment of the classification stage using Conditional Random Fields. The system was applied on the RGBvideos of the THETIS dataset, achieving an accuracy of over 86% in recognizing 12 different tennis shots among several takes produced by 55 different amateur and professional players.
