Earthquake detection by new motion estimation algorithm in video processing

Chien-Shiang Hong; Chuen-Ching Wang; Shen-Chuan Tai; Ji-Feng Chen; Chung-Yao Wang

doi:10.1117/1.3530068

1 January 2011 Earthquake detection by new motion estimation algorithm in video processing

Chien-Shiang Hong, Chuen-Ching Wang, Shen-Chuan Tai, Ji-Feng Chen, Chung-Yao Wang

Author Affiliations +

Optical Engineering, Vol. 50, Issue 1, 017202 (January 2011). https://doi.org/10.1117/1.3530068

Abstract

As increasing urbanization is taking place worldwide, earthquake hazards pose serious threats to lives and properties for urban areas. A practical earthquake prediction method appears to be far from realization. Generally, the traditional instruments for earthquake detection have the disadvantages of high cost and size. To solve these problems, this paper presents a new method which can detect earthquake intensity using video capture device. The main method is based on a new proposed motion vector algorithm with simple but effective methods to immediately calculate acceleration of a predefined target object. By estimating the motion vector variation, the movement distance of predefined target object can be computed, and therefore the earthquake amplitude can be defined. The effectiveness of the proposed scheme is demonstrated in a series of experimental simulations. It is shown that the scheme successfully detects the earthquake occurrence and identifies the earthquake amplitude from video streams.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Chien-Shiang Hong, Chuen-Ching Wang, Shen-Chuan Tai, Ji-Feng Chen, and Chung-Yao Wang "Earthquake detection by new motion estimation algorithm in video processing," Optical Engineering 50(1), 017202 (1 January 2011). https://doi.org/10.1117/1.3530068

Published: 1 January 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available