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Natural Hazards

, Volume 67, Issue 2, pp 783–796 | Cite as

Application of a feature-based approach to debris flow detection by numerical simulation

  • Chih-Wei Lin
  • Cheng-Wu Chen
  • Wen-Ko Hsu
  • Chia-Yen Chen
  • Chung-Hung Tsai
  • Yi-Ping Hung
  • Wei-Ling Chiang
Original Article

Abstract

A debris flow is a serious natural disaster which can occur anywhere whether in a valley or on a mountain slope, destroying everything it passes through. Debris flows can occur suddenly and cause residents in the path to suffer casualties and property loss. An early warning system is necessary to reduce the damage in order to protect human life and personal property. However, most debris flow detection systems, like wireless sensors, satellite images and radar, are not suitable for general public use. Vision surveillance systems are generally erected in Taiwan as public devices for security. Therefore, we propose a novel debris early warning system that uses a computer vision technique and build a simulation environment to prove the feasibility.

Keywords

Debris flow Feature based Computer vision 

Notes

Acknowledgments

The authors would like to thank the National Science Council of the Republic of China, Taiwan, for their financial support of this research under Contract Nos. NSC100-2218-E-008-007, 100-2221-E-022-013-MY2 and 100-2628-E-022-002-MY2.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Chih-Wei Lin
    • 1
    • 7
  • Cheng-Wu Chen
    • 3
  • Wen-Ko Hsu
    • 4
  • Chia-Yen Chen
    • 5
  • Chung-Hung Tsai
    • 6
  • Yi-Ping Hung
    • 1
    • 2
  • Wei-Ling Chiang
    • 7
  1. 1.Department of Computer Science and Information EngineeringNational Taiwan UniversityTaipeiTaiwan
  2. 2.Graduate Institute of Networking and MultimediaNational Taiwan UniversityTaipeiTaiwan
  3. 3.Department of Maritime Information and TechnologyNational Kaohsiung Marine UniversityKaohsiungTaiwan
  4. 4.Research Center for Hazard Mitigation and PreventionNational Central UniversityTaoyuanTaiwan
  5. 5.Department of Computer Science and Information EngineeringNational University of KaohsiungKaohsiungTaiwan
  6. 6.Department of Leisure Business ManagementNational Pingtung Institute of CommercePingtungTaiwan
  7. 7.Department of Civil EngineeringNational Central UniversityTaoyuanTaiwan, ROC

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