Title :
Real-time wildfire smoke detection on moving camera
Author :
Arslan, Ismail ; Alkar, Ali Ziya
Author_Institution :
Elektr. ve Elektron. Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
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.
Keywords :
computerised monitoring; forestry; image motion analysis; object detection; smoke detectors; video cameras; wildfires; camera motion information calculation; early forest fire detection; forest protection; image processing; moving camera; real-time wildfire smoke detection; region monitoring; video processing; Cameras; Conferences; Correlation; Fires; Monitoring; Real-time systems; Signal processing;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830451