Title :
Current trend in natural disaster warning systems based on computer vision techniques
Author :
Ko, ByoungChul ; Kwak, JoonYoung ; Hong, June Hyeok ; Nam, JaeYeal
Author_Institution :
Dept. of Comput. Eng., Keimyung Univ., DaeGu, South Korea
Abstract :
In this paper, a review of vision-based natural disaster warning methods is presented. Because natural disaster warning is receiving a lot of attention in recent research, a comprehensive review of various disaster-warning techniques developed in recent years is needed. This paper surveys recent studies on warning systems four different types of natural disaster, i.e., wildfire smoke and flame detection, water level detection for flood prevention, and coastal zone monitoring, using computer vision and pattern-recognition techniques. Finally, we conclude with some thoughts about future research directions.
Keywords :
alarm systems; computer vision; computerised monitoring; disasters; emergency services; floods; geophysical image processing; image recognition; coastal zone monitoring; computer vision technique; flood prevention; natural disaster warning systems; pattern recognition technique; water level detection; wildfire flame detection; wildfire smoke detection; Cameras; Fires; Image segmentation; coastal zone; natural disaster; water level; wildfire flame; wildfire smoke;
Conference_Titel :
Pattern Recognition (ACPR), 2011 First Asian Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0122-1
DOI :
10.1109/ACPR.2011.6166591
