@inproceedings{54e85e6df9704ffebfeb49092fb3a576,
title = "Hareketli kamerada ger{\c c}ek zamanli orman yangin dumani tespiti",
abstract = "Early detection of forest fires has a huge importance in terms of the forest protection. In previous studies, wildfires detected with the help of fixed camera and computer. The camera used only monitors a specific region, for the rest of this region either an another camera is used or it just cannot be monitored. In this paper, we propose an approach that can monitor the whole 360o field using only a single camera for the early detection of a potential wildfire by detecting presence of smoke. In this work, motion information of the camera is calculated from the frames that are recevied from the camera. By using this movement information, a fixed background image is obtained and updated at certain time periods. Using this background image, the current images are examined and possible occurences of smoke in the video is detected and presented in this paper.",
author = "Ismail Arslan and Alkar, \{Ali Ziya\}",
year = "2014",
doi = "10.1109/SIU.2014.6830451",
language = "T{\"u}rk{\c c}e",
isbn = "9781479948741",
series = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings",
publisher = "IEEE Computer Society",
pages = "1203--1206",
booktitle = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings",
address = "!!United States",
note = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 ; Conference date: 23-04-2014 Through 25-04-2014",
}