Fire Segmentation in Still Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU135364" target="_blank" >RIV/00216305:26230/20:PU135364 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-40605-9_3" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-40605-9_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-40605-9_3" target="_blank" >10.1007/978-3-030-40605-9_3</a>
Alternative languages
Result language
angličtina
Original language name
Fire Segmentation in Still Images
Original language description
In this paper, we propose a novel approach to fire localization in images based on a state of the art semantic segmentation method DeepLabV3. We compiled a data set of 1775 images containing fire from various sources for which we created polygon annotations. The data set is augmented with hard non-fire images from SUN397 data set. The segmentation method trained on our data set achieved results better than state of the art results on BowFire data set. We believe the created data set will facilitate further development of fire detection and segmentation methods, and that the methods should be based on general purpose segmentation networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Springer International Publishing
ISBN
978-3-030-40605-9
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
27-37
Publisher name
Springer International Publishing
Place of publication
Auckland
Event location
Auckland
Event date
Feb 10, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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