Efficiency of HSV over RGB Gaussian Mixture Model for fire detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F14%3A39898480" target="_blank" >RIV/00216275:25530/14:39898480 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6828426&queryText%3DEfficiency+of+HSV+over+RGB+Gaussian+Mixture+Model+for+Fire+Detection" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6828426&queryText%3DEfficiency+of+HSV+over+RGB+Gaussian+Mixture+Model+for+Fire+Detection</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Radioelek.2014.6828426" target="_blank" >10.1109/Radioelek.2014.6828426</a>
Alternative languages
Result language
angličtina
Original language name
Efficiency of HSV over RGB Gaussian Mixture Model for fire detection
Original language description
Computer Vision based systems have already been proposed to detect fire automatically. To increase the reliability of such systems, Gaussian Mixture Models of fire need to be developed in order to decide if an object in a scene is a fire or no. The models are trained using color images in RGB color model. We, however, believe HSV model is more suitable to present the statistics of a set of colored images precisely. To vindicate this claim, the paper includes a rigorous comparative evaluation of the twoaforementioned color models in a fire detection system to demonstrate the superiority of the HSV color model. It makes hence the recommendation of using the latter model in vision based fire detection systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2014 24th International Conference Radioelektronika
ISBN
978-1-4799-3715-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
"pp.1",4
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
Washington
Event location
Bratislava
Event date
Apr 15, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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