Integrating computer vision technique to support Tsunami Early Warning System

2012 International Conference on Systems and Informatics (ICSAI2012) Pub Date : 2012-05-19 DOI:10.1109/ICSAI.2012.6223431

S. Hadi, Dian Nursantika, I. Purwanti

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引用次数: 4

Abstract

Tsunami Early Warning System (TEWS) is built for minimizing impact of tsunami disaster. The generic system consists of two components: the first is sensor network for tsunami detection and the second is interconnected communication infrastructure for evacuation notification. In this paper, additional sensor based on computer vision technology is proposed for observing ocean and wave condition. This technology, combined with other sensors technology, will increase the effectiveness of the TEWS. In more detail, image frames captured from surveillance video camera are analyzed and interpreted semantically using imaging analysis techniques. If the system considered a tsunami-like situation based on image, it will transmit a warning signal to a centrally integrated system. The developed application adopted DeWa, a multiaspect framework for object detection that has been previously implemented. Although this camera-based TEWS has not been implemented in realistic situation, it has been successfully tested using extracted image from a tsunami-like wave video.

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集成计算机视觉技术支持海啸预警系统

海啸预警系统(TEWS)是为了尽量减少海啸灾害的影响而建立的。该通用系统由两部分组成:一是用于海啸探测的传感器网络，二是用于疏散通知的互联通信基础设施。本文提出了一种基于计算机视觉技术的附加传感器，用于观测海洋和波浪状况。该技术与其他传感器技术相结合，将提高TEWS的有效性。更详细地说，从监控摄像机捕获的图像帧进行分析，并使用成像分析技术进行语义解释。如果该系统根据图像判断出类似海啸的情况，就会向中央综合系统发送警报信号。开发的应用程序采用了DeWa，这是一个以前实现过的用于对象检测的多方面框架。虽然这种基于摄像头的TEWS还没有在现实环境中实现，但它已经成功地使用从海啸样波浪视频中提取的图像进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 International Conference on Systems and Informatics (ICSAI2012)

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