@InProceedings{ChinoAvalRodrTrai:2015:DeFiSt,
author = "Chino, Daniel Yashinobu Takada and Avalhais, Letricia Pereira
Soares and Rodrigues Junior, Jose Fernando and Traina, Agma Juci
Machado",
affiliation = "{University of Sao Paulo} and {University of Sao Paulo} and
{University of Sao Paulo} and {University of Sao Paulo}",
title = "BoWFire: detection of fire in still images by integrating pixel
color and texture analysis",
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 = "fire detection, still images, pixel-color classification, texture
feature.",
abstract = "Emergency events involving fire are potentially harmful, demanding
a fast and precise decision making. The use of crowdsourcing image
and videos on crisis management systems can aid in these
situations by providing more information than verbal/textual
descriptions. Due to the usual high volume of data, automatic
solutions need to discard non-relevant content without losing
relevant information. There are several methods for fire detection
on video using color-based models. However, they are not adequate
for still image processing, because they can suffer on high
false-positive results. These methods also suffer from parameters
with little physical meaning, which makes fine tuning a difficult
task. In this context, we propose a novel fire detection method
for still images that uses classification based on color features
combined with texture classification on superpixel regions. Our
method uses a reduced number of parameters if compared to previous
works, easing the process of fine tuning the method. Results show
the effectiveness of our method of reducing false-positives while
its precision remains compatible with the state-of-the-art
methods.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.19",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.19",
language = "en",
ibi = "8JMKD3MGPBW34M/3JMP3KB",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JMP3KB",
targetfile = "PID3758331_cameraReady.pdf",
urlaccessdate = "2024, Apr. 28"
}