@InProceedings{MoraColqueCáma:2011:PrBaIm,
author = "Mora Colque, Rensso Victor Hugo and C{\'a}mara-Ch{\'a}vez,
Guillermo",
affiliation = "{Universidade Federal de Ouro Preto} and {Universidade Federal de
Ouro Preto}",
title = "Progressive Background Image Generation of Surveillance Traffic
Videos Based on a Temporal Histogram Ruled by a Reward/Penalty
Function",
booktitle = "Proceedings...",
year = "2011",
editor = "Lewiner, Thomas and Torres, Ricardo",
organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Background image, frame difference, temporal intensity histogram,
reward and penalty function.",
abstract = "In most surveillance traffic systems the background image is used
for segmenting the moving objects. In this paper, we propose a
method for progressive and constant renewal of the background
image of a video sequence. Our method is divided in three parts:
frame difference to get an actual information of the video
sequence; reward and penalty function that modifies a temporal
histogram; and the background generation uses the information
found in the histogram. The principal characteristic of the method
is the constant regeneration of the histogram using neighborhood
information of intensity levels, penalizing the occurrence of
foreign objects and rewarding the values of static objects. For
that, the histogram values are modified regionally and its
variation correspond to a normal distribution. The principal
advantages of our proposed method lies in the progressive
increment of the background pixel intensity occurrences, the fast
reaction to changes between foreground and background segments and
the simplicity of the method that can be used in real time
applications. At the end of this paper, experimental results
demonstrated the feasibility of the proposed technique in
different weather conditions and traffic situations.",
conference-location = "Macei{\'o}, AL, Brazil",
conference-year = "28-31 Aug. 2011",
doi = "10.1109/SIBGRAPI.2011.26",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.26",
language = "en",
ibi = "8JMKD3MGPBW34M/3A3LJ3B",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3A3LJ3B",
targetfile = "Progressive Background Image Generation of Surveillance Traffic
Videos Based on a Temporal Histogram Ruled by a RewardPenalty
Function.pdf",
urlaccessdate = "2024, Apr. 29"
}