Detecting fire in video stream using statistical analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU136367" target="_blank" >RIV/00216305:26230/17:PU136367 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/17:63517556

Výsledek na webu

<a href="https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02055/matecconf_cscc2017_02055.html" target="_blank" >https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02055/matecconf_cscc2017_02055.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/matecconf/201712502055" target="_blank" >10.1051/matecconf/201712502055</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detecting fire in video stream using statistical analysis

Popis výsledku v původním jazyce

The real time fire detection in video stream is one of the most interesting problems in computer vision. In fact, in most cases it would be nice to have fire detection algorithm implemented in usual industrial cameras and/or to have possibility to replace standard industrial cameras with one implementing the fire detection algorithm. In this paper, we present new algorithm for detecting fire in video. The algorithm is based on tracking suspicious regions in time with statistical analysis of their trajectory. False alarms are minimized by combining multiple detection criteria: pixel brightness, trajectories of suspicious regions for evaluating characteristic fire flickering and persistence of alarm state in sequence of frames. The resulting implementation is fast and therefore can run on wide range of affordable hardware.

Název v anglickém jazyce

Detecting fire in video stream using statistical analysis

Popis výsledku anglicky

The real time fire detection in video stream is one of the most interesting problems in computer vision. In fact, in most cases it would be nice to have fire detection algorithm implemented in usual industrial cameras and/or to have possibility to replace standard industrial cameras with one implementing the fire detection algorithm. In this paper, we present new algorithm for detecting fire in video. The algorithm is based on tracking suspicious regions in time with statistical analysis of their trajectory. False alarms are minimized by combining multiple detection criteria: pixel brightness, trajectories of suspicious regions for evaluating characteristic fire flickering and persistence of alarm state in sequence of frames. The resulting implementation is fast and therefore can run on wide range of affordable hardware.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TE01020415" target="_blank" >TE01020415: Centrum kompetence ve zpracování vizuálních informací (V3C - Visual Computing Competence Center)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceeding of the 21st International Conference on Circuits, Systems, Communications and Computers, CSCC 2017

ISBN

—

ISSN

2261-236X

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

EDP Sciences

Místo vydání

Crete

Místo konání akce

Agia Pelagia Beach, Crete Island

Datum konání akce

14. 7. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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