Detail publikace

Detecting fire in video stream using statistical analysis

KOPLÍK, K. JANKŮ, P. DULÍK, T.

Originální název

Detecting fire in video stream using statistical analysis

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

cameras, computer circuits, computer harware descritpion languages, fire detectors, signal detection, statstical methods, video streaming

Autoři

KOPLÍK, K.; JANKŮ, P.; DULÍK, T.

Vydáno

4. 10. 2017

Nakladatel

EDP Sciences

Místo

Crete

ISSN

2261-236X

Periodikum

MATEC Web of Conferences

Ročník

125

Číslo

1

Stát

Francouzská republika

Strany od

1

Strany do

5

Strany počet

5

URL

https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02055/matecconf_cscc2017_02055.html

BibTex

@inproceedings{BUT163779,
  author="Karel {Koplík} and Peter {Janků} and Tomáš {Dulík}",
  title="Detecting fire in video stream using statistical analysis",
  booktitle="Proceeding of the 21st International Conference on Circuits, Systems, Communications and Computers, CSCC 2017",
  year="2017",
  journal="MATEC Web of Conferences",
  volume="125",
  number="1",
  pages="1--5",
  publisher="EDP Sciences",
  address="Crete",
  doi="10.1051/matecconf/201712502055",
  issn="2261-236X",
  url="https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02055/matecconf_cscc2017_02055.html"
}

Dokumenty

Detecting_fire_in_video_stream_using_statistical_a.pdf