Debris flow detection for fixed video camera with optimal theory

Yen Liang Chen, Hsuan Ren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Every year in summer and autumn, there are usually several typhoons pass through Taiwan. They often bring heavy rains and sometimes cause serious debris flows in the mountainous regions. It is very important to detect the debris flows in order to reduce their damages. To setup the fixed cameras to monitor the mountainous areas is an efficient and economical approach. An early warning can be announced if debris flow is detected. In this paper, we adopt Fisher's Linear Discriminant Analysis (FLDA) and the background subtraction to detect changes in video frames, and then calculate entropy and apply optimal theory to detect the debris flow. Finally, a comparison of detection result is conducted for performance analysis.

Original languageEnglish
Title of host publication31st Asian Conference on Remote Sensing 2010, ACRS 2010
Pages1323-1328
Number of pages6
StatePublished - 2010
Event31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
Duration: 1 Nov 20105 Nov 2010

Publication series

Name31st Asian Conference on Remote Sensing 2010, ACRS 2010
Volume2

Conference

Conference31st Asian Conference on Remote Sensing 2010, ACRS 2010
Country/TerritoryViet Nam
CityHanoi
Period1/11/105/11/10

Keywords

  • Background subtraction
  • Debris flow
  • Entropy
  • Fisher's linear discriminant analysis
  • Optimization

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