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

fYear

2011

fDate

28-28 Nov. 2011

Firstpage

648

Lastpage

652

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ACPR), 2011 First Asian Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0122-1

Type

conf

DOI

10.1109/ACPR.2011.6166591

Filename

6166591