Detecting fire in video stream using statistical analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517556" target="_blank" >RIV/70883521:28140/17:63517556 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26230/17:PU136367
Result on the web
<a href="https://www.matec-conferences.org/articles/matecconf/pdf/2017/39/matecconf_cscc2017_02055.pdf" target="_blank" >https://www.matec-conferences.org/articles/matecconf/pdf/2017/39/matecconf_cscc2017_02055.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/201712502055" target="_blank" >10.1051/matecconf/201712502055</a>
Alternative languages
Result language
angličtina
Original language name
Detecting fire in video stream using statistical analysis
Original language description
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.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATEC Web of Conferences
ISBN
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ISSN
2261-236X
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
"nestrankovano"
Publisher name
EDP Sciences
Place of publication
Les Ulis
Event location
Heraklion, Crete
Event date
Jul 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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