Videoda gerçek zamanda duman ve alev tespiti

B. Uǧur Töreyin; Yiǧithan Dedeoǧlu; A. Enis Çetin

doi:10.1109/SIU.2005.1567780

Videoda gerçek zamanda duman ve alev tespiti

Translated title of the contribution: Real-time smoke and flame detection in video

B. Uǧur Töreyin^*, Yiǧithan Dedeoǧlu, A. Enis Çetin

^*Corresponding author for this work

Bilkent University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

A novel method to detect smoke and/or flame by processing the video data generated by an ordinary camera monitoring a scene is proposed. It is assumed the camera is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke, the background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. For the detection of flames, in addition to ordinary motion and color clues, flicker analysis is also carried out by analyzing the video in wavelet domain. These clues are combined to reach a final decision.

Translated title of the contribution	Real-time smoke and flame detection in video
Original language	Turkish
Title of host publication	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Pages	695-698
Number of pages	4
DOIs	https://doi.org/10.1109/SIU.2005.1567780
Publication status	Published - 2005
Externally published	Yes
Event	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 - Kayseri, Turkey Duration: 16 May 2005 → 18 May 2005

Publication series

Name	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Volume	2005

Conference

Conference	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Country/Territory	Turkey
City	Kayseri
Period	16/05/05 → 18/05/05

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10.1109/SIU.2005.1567780

Cite this

Töreyin, B. U., Dedeoǧlu, Y., & Çetin, A. E. (2005). Videoda gerçek zamanda duman ve alev tespiti. In Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 (pp. 695-698). Article 1567780 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Vol. 2005). https://doi.org/10.1109/SIU.2005.1567780

@inproceedings{5bcf28c768dc4232889fe062b081b6e5,

title = "Videoda ger{\c c}ek zamanda duman ve alev tespiti",

abstract = "A novel method to detect smoke and/or flame by processing the video data generated by an ordinary camera monitoring a scene is proposed. It is assumed the camera is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke, the background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. For the detection of flames, in addition to ordinary motion and color clues, flicker analysis is also carried out by analyzing the video in wavelet domain. These clues are combined to reach a final decision.",

author = "T{\"o}reyin, {B. Uǧur} and Yiǧithan Dedeoǧlu and {\c C}etin, {A. Enis}",

year = "2005",

doi = "10.1109/SIU.2005.1567780",

language = "T{\"u}rk{\c c}e",

isbn = "0780392396",

series = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",

pages = "695--698",

booktitle = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",

note = "IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 ; Conference date: 16-05-2005 Through 18-05-2005",

}

Töreyin, BU, Dedeoǧlu, Y & Çetin, AE 2005, Videoda gerçek zamanda duman ve alev tespiti. in Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005., 1567780, Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, vol. 2005, pp. 695-698, IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Turkey, 16/05/05. https://doi.org/10.1109/SIU.2005.1567780

Videoda gerçek zamanda duman ve alev tespiti. / Töreyin, B. Uǧur; Dedeoǧlu, Yiǧithan; Çetin, A. Enis.
Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005. 2005. p. 695-698 1567780 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Videoda gerçek zamanda duman ve alev tespiti

AU - Töreyin, B. Uǧur

AU - Dedeoǧlu, Yiǧithan

AU - Çetin, A. Enis

PY - 2005

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N2 - A novel method to detect smoke and/or flame by processing the video data generated by an ordinary camera monitoring a scene is proposed. It is assumed the camera is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke, the background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. For the detection of flames, in addition to ordinary motion and color clues, flicker analysis is also carried out by analyzing the video in wavelet domain. These clues are combined to reach a final decision.

AB - A novel method to detect smoke and/or flame by processing the video data generated by an ordinary camera monitoring a scene is proposed. It is assumed the camera is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke, the background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. For the detection of flames, in addition to ordinary motion and color clues, flicker analysis is also carried out by analyzing the video in wavelet domain. These clues are combined to reach a final decision.

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M3 - Konferans katkısı

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SN - 0780392396

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T3 - Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

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BT - Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

T2 - IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

Y2 - 16 May 2005 through 18 May 2005

ER -

Videoda gerçek zamanda duman ve alev tespiti

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