Earticle

초록

영어

Because of environmental issues such as global warming, natural disaster is a growing trend. Accordingly, interest in minimizing structural damage due to natural disasters is also increasing. One method for reducing these problems of disaster damage is to detect problematic situations quickly using Closed-circuit televisions (CCTVs), which are image sensors that allow damage to be controlled and countermeasures to be prepared. In the case of structural deformation situations occurring due to natural disasters, deformations tend to continue until the structure is recovered. However, since intelligent CCTVs have thus far failed to recognize or track moving objects, these CCTVs are not suitable for detecting the maintenance of structure deformation. Therefore, in the present study, a technique will be presented through which structural situations suspected of deformation (i.e., situations in which problems will occur if the current state is maintained) can be intelligently detected using difference images based on video images taken from actual structures at fixed positions.

목차

Abstract
 1. Introduction
 2. Related Work
 3. A Deformed Shape Detection Scheme
 4. Experiment
  4.1. Definition of the Scenarios
  4.2. Results of the Expression of structure Situations Suspected of Deformation According to Threshold Values
  4.3. Results of Expression of Structure Situations Suspected of Deformation by Scenario
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Hoejung Jung [ Department of Computer Science, Kyonggi University, South Korea ]
• Namgi Kim [ Department of Computer Science, Kyonggi University, South Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605