@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",
}