@InProceedings{MeloMenoSchw:2015:FaRoOp,
author = "Melo, Victor Hugo Cunha de and Menotti, David and Schwartz,
William Robson",
affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal
de Ouro Preto} and {Universidade Federal de Minas Gerais}",
title = "Fast and robust optimization approaches for pedestrian detection",
booktitle = "Proceedings...",
year = "2015",
editor = "Segundo, Maur{\'{\i}}cio Pamplona and Faria, Fabio Augusto",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Pedestrian detection, random filtering, location regression,
cascade of rejection, partial least squares.",
abstract = "The large number of surveillance cameras available nowadays in
strategic points of large cities aims to provide a safe
environment. However, the huge amount of visual data provided by
the cameras prevents its manual processing, requiring the
application of automated methods. Among such methods, pedestrian
detection plays an important role in reducing the amount of data.
However, the currently available methods are unable to process
such large amount of data in real time. Therefore, there is a need
for the development of optimization techniques. Towards
accomplishing the goal of reducing costs for pedestrian detection,
this Masters thesis proposed two optimization approaches. Our
first approach proposes a novel optimization that performs a
random filtering in the image to select a small number of
detection windows, allowing a reduction in the computational cost.
Our results show that accurate results can be achieved even when a
large number of detection windows are discarded. The second
approach consists of a cascade of rejection based on Partial Least
Squares (PLS) combined with the propagation of latent variables
through the stages. Our results show that the method reduces the
computational cost by increasing the number of rejected background
samples in earlier stages of the cascade.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "en",
ibi = "8JMKD3MGPBW34M/3K2N5CH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3K2N5CH",
targetfile = "2015-WTD-VictorMelo.submitted.pdf",
urlaccessdate = "2024, May 05"
}