Title
Color-aware local spatiotemporal features for action recognition
Date Issued
28 November 2011
Access level
open access
Resource Type
conference paper
Author(s)
Souza F.
Valle E.
De A. Araújo A.
ICEB/UFOP
Abstract
Despite the recent developments in spatiotemporal local features for action recognition in video sequences, local color information has so far been ignored. However, color has been proved an important element to the success of automated recognition of objects and scenes. In this paper we extend the space-time interest point descriptor STIP to take into account the color information on the features' neighborhood. We compare the performance of our color-aware version of STIP (which we have called HueSTIP) with the original one. © 2011 Springer-Verlag.
Start page
248
End page
255
Volume
7042 LNCS
Language
English
OCDE Knowledge area
Bioinformática
Scopus EID
2-s2.0-81855186018
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
16113349
ISBN of the container
978-364225084-2
Conference
16th Iberoamerican Congress on Pattern Recognition, CIARP 2011
Sources of information: Directorio de Producción Científica Scopus