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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%2F00216305%3A26230%2F17%3APU136367" target="_blank" >RIV/00216305:26230/17:PU136367 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28140/17:63517556

  • Result on the web

    <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>

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

    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

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

  • ISBN

  • ISSN

    2261-236X

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    EDP Sciences

  • Place of publication

    Crete

  • Event location

    Agia Pelagia Beach, Crete Island

  • Event date

    Jul 14, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article