@InProceedings{BastosAngeLoul:2015:ReStGe,
author = "Bastos, Igor Leonardo Oliveira and Angelo, Michele F{\'u}lvia and
Loula, Angelo Conrado",
affiliation = "{Federal University of Bahia - UFBA} and {State University of
Feira de Santana - UEFS} and {State University of Feira de Santana
- UEFS}",
title = "Recognition of Static Gestures Applied to Brazilian Sign Language
(Libras)",
booktitle = "Proceedings...",
year = "2015",
editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim,
Ricardo Guerra and Farrell, Ryan",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Histogram of Oriented Gradients, Zernike Invariant Moments, Neural
Networks, Gesture Recognition, Libras.",
abstract = "This paper aims at describing an approach developed for the
recognition of gestures on digital images. In this way, two shape
descriptors were used: the histogram of oriented gradients (HOG)
and Zernike invariant moments (ZIM). A feature vector composed by
the information acquired with both descriptors was used to train
and test a two stage Neural Network, which is responsible for
performing the recognition. In order to evaluate the approach in a
practical context, a dataset containing 9600 images representing
40 different gestures (signs) from Brazilian Sign Language
(Libras) was composed. This approach showed high recognition rates
(hit rates), reaching a final average of 96.77%.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.26",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.26",
language = "en",
ibi = "8JMKD3MGPBW34M/3JMJ79L",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JMJ79L",
targetfile = "PID3766353.pdf",
urlaccessdate = "2024, Apr. 30"
}