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Application of a feature-based approach to debris flow detection by numerical simulation |
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| Authors: | Chih-Wei Lin Cheng-Wu Chen Wen-Ko Hsu Chia-Yen Chen Chung-Hung Tsai Yi-Ping Hung Wei-Ling Chiang |
| Institution: | 1. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan 7. Department of Civil Engineering, National Central University, Jhung-li, Taoyuan, Taiwan, ROC 3. Department of Maritime Information and Technology, National Kaohsiung Marine University, Kaohsiung, Taiwan 4. Research Center for Hazard Mitigation and Prevention, National Central University, Jhung-li, Taoyuan, Taiwan 5. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan 6. Department of Leisure Business Management, National Pingtung Institute of Commerce, Pingtung, Taiwan 2. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan |
| 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. |
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