@InProceedings{VargasPaesVasc:2016:EsSoRe,
author = "Vargas, Ana Caroline Gomes and Paes, Aline and Vasconcelos,
Cristina Nader",
affiliation = "UFF and UFF and UFF",
title = "Um Estudo sobre Redes Neurais Convolucionais e sua
Aplica{\c{c}}{\~a}o em Detec{\c{c}}{\~a}o de Pedestres",
booktitle = "Proceedings...",
year = "2016",
editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and
Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson
A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti,
David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa,
Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and
Santos, Jefersson dos and Schwartz, William Robson and Thomaz,
Carlos E.",
organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Pedestrian Detection, Computer Vision, Machine Learning, CNN, SVM,
HOG, Adaboost, Haar features.",
abstract = "This work addresses Deep Learning from the point of view of the
Computer Vision area, drawing a parallel between the two areas,
considering the pedestrian detection task. To achieve that, the
experimental results of two classical Computer Vision approaches
are compared to the results obtained from a Convolutional Neural
Network, which is known for obtaining the state of the art to the
problem of pedestrian detection.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
conference-year = "4-7 Oct. 2016",
language = "pt",
ibi = "8JMKD3MGPAW/3ME3L2P",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3ME3L2P",
targetfile = "um-estudo-sobre.pdf",
urlaccessdate = "2024, May 03"
}