Efficiency of HSV over RGB Gaussian Mixture Model for fire detection

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Efficiency of HSV over RGB Gaussian Mixture Model for fire detection

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Efficiency of HSV over RGB Gaussian Mixture Model for fire detection

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2014 24th International Conference Radioelektronika

ISBN

978-1-4799-3715-8

ISSN

—

e-ISSN

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Počet stran výsledku

4

Strana od-do

"pp.1",4

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

Washington

Místo konání akce

Bratislava

Datum konání akce

15. 4. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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